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[1] A Soft Computing Approach for Learning to Aggregate Rankings Session 1C: Learning / Muñoz, Javier Alvaro Vargas / Torres, Ricardo da Silva / Gonçalves, Marcos André Proceedings of the 2015 ACM Conference on Information and Knowledge Management 2015-10-19 p.83-92
ACM Digital Library Link
Summary: This paper presents an approach to combine rank aggregation techniques using a soft computing technique -- Genetic Programming -- in order to improve the results in Information Retrieval tasks. Previous work shows that by combining rank aggregation techniques in an agglomerative way, it is possible to get better results than with individual methods. However, these works either combine only a small set of lists or are performed in a completely ad-hoc way. Therefore, given a set of ranked lists and a set of rank aggregation techniques, we propose to use a supervised genetic programming approach to search combinations of them that maximize effectiveness in large search spaces. Experimental results conducted using four datasets with different properties show that our proposed approach reaches top performance in most datasets. Moreover, this cross-dataset performance is not matched by any other baseline among the many we experiment with, some being the state-of-the-art in learning-to-rank and in the supervised rank aggregation tasks. We also show that our proposed framework is very efficient, flexible, and scalable.

[2] A Usability Study of a Brain-Computer Interface Apparatus: An Ergonomic Approach User Experience Design and Usability Methods and Tools / Barros, Rafaela Q. / Santos, Gabriele / Ribeiro, Caroline / Torres, Rebeca / Barros, Manuella Q. / Soares, Marcelo M. DUXU 2015: Fourth International Conference on Design, User Experience, and Usability, Part I: Design Discourse 2015-08-02 v.1 p.224-236
Keywords: Electroencephalogram; Neuro-ergonomics; Neuroscience
Link to Digital Content at Springer
Summary: Several studies are being conducted on understanding users' behavior when using the product to analyze if the behavior that users claim to have or to demonstrate is similar to what they are actually doing at the time of the survey. Against this background, this study sets out to examine the usability of the Emotiv EPOC apparatus using heuristic analysis to detect possible problems involved in the interaction between the product and individual users.

[3] EDITED BOOK Natural Interaction with Robots, Knowbots and Smartphones: Putting Spoken Dialog Systems into Practice / Mariani, Joseph / Rosset, Sophie / Garnier-Rizet, Martine / Devillers, Laurence 2014 p.397 Springer New York
ISBN: 978-1-4614-8279-6 (print), 978-1-4614-8280-2 (online)
Link to Digital Content at Springer
== Spoken Dialog Systems in Everyday Applications ==
Spoken Language Understanding for Natural Interaction: The Siri Experience (3-14)
	+ Bellegarda, Jerome R.
Development of Speech-Based In-Car HMI Concepts for Information Exchange Internet Apps (15-28)
	+ Hofmann, Hansjörg
	+ Silberstein, Anna
	+ Ehrlich, Ute
	+ Berton, André
	+ Müller, Christian
	+ Mahr, Angela
Real Users and Real Dialog Systems: The Hard Challenge for SDS (29-36)
	+ Black, Alan W.
	+ Eskenazi, Maxine
A Multimodal Multi-device Discourse and Dialogue Infrastructure for Collaborative Decision-Making in Medicine (37-47)
	+ Sonntag, Daniel
	+ Schulz, Christian
== Spoken Dialog Prototypes and Products ==
Yochina: Mobile Multimedia and Multimodal Crosslingual Dialogue System (51-57)
	+ Xu, Feiyu
	+ Schmeier, Sven
	+ Ai, Renlong
	+ Uszkoreit, Hans
Walk This Way: Spatial Grounding for City Exploration (59-67)
	+ Boye, Johan
	+ Fredriksson, Morgan
	+ Götze, Jana
	+ Gustafson, Joakim
	+ Königsmann, Jürgen
Multimodal Dialogue System for Interaction in AmI Environment by Means of File-Based Services (69-77)
	+ Ábalos, Nieves
	+ Espejo, Gonzalo
	+ López-Cózar, Ramón
	+ Ballesteros, Francisco J.
	+ Soriano, Enrique
	+ Guardiola, Gorka
Development of a Toolkit Handling Multiple Speech-Oriented Guidance Agents for Mobile Applications (79-85)
	+ Hara, Sunao
	+ Kawanami, Hiromichi
	+ Saruwatari, Hiroshi
	+ Shikano, Kiyohiro
Providing Interactive and User-Adapted E-City Services by Means of Voice Portals (87-98)
	+ Griol, David
	+ García-Jiménez, María
	+ Callejas, Zoraida
	+ López-Cózar, Ramón
== Multi-domain, Crosslingual Spoken Dialog Systems ==
Efficient Language Model Construction for Spoken Dialog Systems by Inducting Language Resources of Different Languages (101-110)
	+ Misu, Teruhisa
	+ Matsuda, Shigeki
	+ Mizukami, Etsuo
	+ Kashioka, Hideki
	+ Li, Haizhou
Towards Online Planning for Dialogue Management with Rich Domain Knowledge (111-123)
	+ Lison, Pierre
A Two-Step Approach for Efficient Domain Selection in Multi-Domain Dialog Systems (125-131)
	+ Lee, Injae
	+ Kim, Seokhwan
	+ Kim, Kyungduk
	+ Lee, Donghyeon
	+ Choi, Junhwi
	+ Ryu, Seonghan
	+ Lee, Gary Geunbae
== Human-Robot Interaction ==
From Informative Cooperative Dialogues to Long-Term Social Relation with a Robot (135-151)
	+ Buendia, Axel
	+ Devillers, Laurence
Integration of Multiple Sound Source Localization Results for Speaker Identification in Multiparty Dialogue System (153-165)
	+ Nakashima, Taichi
	+ Komatani, Kazunori
	+ Sato, Satoshi
Investigating the Social Facilitation Effect in Human--Robot Interaction (167-177)
	+ Wechsung, Ina
	+ Ehrenbrink, Patrick
	+ Schleicher, Robert
	+ Möller, Sebastian
More Than Just Words: Building a Chatty Robot (179-185)
	+ Gilmartin, Emer
	+ Campbell, Nick
Predicting When People Will Speak to a Humanoid Robot (187-198)
	+ Sugiyama, Takaaki
	+ Komatani, Kazunori
	+ Sato, Satoshi
Designing an Emotion Detection System for a Socially Intelligent Human-Robot Interaction (199-211)
	+ Chastagnol, Clément
	+ Clavel, Céline
	+ Courgeon, Matthieu
	+ Devillers, Laurence
Multimodal Open-Domain Conversations with the Nao Robot (213-224)
	+ Jokinen, Kristiina
	+ Wilcock, Graham
Component Pluggable Dialogue Framework and Its Application to Social Robots (225-237)
	+ Jiang, Ridong
	+ Tan, Yeow Kee
	+ Limbu, Dilip Kumar
	+ Dung, Tran Anh
	+ Li, Haizhou
== Spoken Dialog Systems Components ==
Visual Contribution to Word Prominence Detection in a Playful Interaction Setting (241-247)
	+ Heckmann, Martin
Label Noise Robustness and Learning Speed in a Self-Learning Vocal User Interface (249-259)
	+ Ons, Bart
	+ Gemmeke, Jort F.
	+ Van hamme, Hugo
Topic Classification of Spoken Inquiries Using Transductive Support Vector Machine (261-267)
	+ Torres, Rafael
	+ Kawanami, Hiromichi
	+ Matsui, Tomoko
	+ Saruwatari, Hiroshi
	+ Shikano, Kiyohiro
Frame-Level Selective Decoding Using Native and Non-native Acoustic Models for Robust Speech Recognition to Native and Non-native Speech (269-274)
	+ Oh, Yoo Rhee
	+ Chung, Hoon
	+ Kang, Jeom-ja
	+ Lee, Yun Keun
Analysis of Speech Under Stress and Cognitive Load in USAR Operations (275-281)
	+ Charfuelan, Marcela
	+ Kruijff, Geert-Jan
== Dialog Management ==
Does Personality Matter? Expressive Generation for Dialogue Interaction (285-301)
	+ Walker, Marilyn A.
	+ Sawyer, Jennifer
	+ Lin, Grace
	+ Wing, Sam
Application and Evaluation of a Conditioned Hidden Markov Model for Estimating Interaction Quality of Spoken Dialogue Systems (303-312)
	+ Ultes, Stefan
	+ ElChab, Robert
	+ Minker, Wolfgang
FLoReS: A Forward Looking, Reward Seeking, Dialogue Manager (313-325)
	+ Morbini, Fabrizio
	+ DeVault, David
	+ Sagae, Kenji
	+ Gerten, Jillian
	+ Nazarian, Angela
	+ Traum, David
A Clustering Approach to Assess Real User Profiles in Spoken Dialogue Systems (327-334)
	+ Callejas, Zoraida
	+ Griol, David
	+ Engelbrecht, Klaus-Peter
	+ López-Cózar, Ramón
What Are They Achieving Through the Conversation? Modeling Guide--Tourist Dialogues by Extended Grounding Networks (335-341)
	+ Mizukami, Etsuo
	+ Kashioka, Hideki
Co-adaptation in Spoken Dialogue Systems (343-353)
	+ Chandramohan, Senthilkumar
	+ Geist, Matthieu
	+ Lefèvre, Fabrice
	+ Pietquin, Olivier
Developing Non-goal Dialog System Based on Examples of Drama Television (355-361)
	+ Nio, Lasguido
	+ Sakti, Sakriani
	+ Neubig, Graham
	+ Toda, Tomoki
	+ Adriani, Mirna
	+ Nakamura, Satoshi
A User Model for Dialog System Evaluation Based on Activation of Subgoals (363-374)
	+ Engelbrecht, Klaus-Peter
Real-Time Feedback System for Monitoring and Facilitating Discussions (375-387)
	+ Sarda, Sanat
	+ Constable, Martin
	+ Dauwels, Justin
	+ Shoko Dauwels (Okutsu), 	+ 
	+ Elgendi, Mohamed
	+ Mengyu, Zhou
	+ Rasheed, Umer
	+ Tahir, Yasir
	+ Thalmann, Daniel
	+ Magnenat-Thalmann, Nadia
Evaluation of Invalid Input Discrimination Using Bag-of-Words for Speech-Oriented Guidance System (389-397)
	+ Majima, Haruka
	+ Torres, Rafael
	+ Kawanami, Hiromichi
	+ Hara, Sunao
	+ Matsui, Tomoko
	+ Saruwatari, Hiroshi
	+ Shikano, Kiyohiro

[4] A relevance feedback approach for the author name disambiguation problem Name extraction / Godoi, Thiago A. / Torres, Ricardo da S. / Carvalho, Ariadne M. B. R. / Gonçalves, Marcos A. / Ferreira, Anderson A. / Fan, Weiguo / Fox, Edward A. JCDL'13: Proceedings of the 2013 ACM/IEEE-CS Joint Conference on Digital Libraries 2013-07-22 p.209-218
ACM Digital Library Link
Summary: This paper presents a new name disambiguation method that exploits user feedback on ambiguous references across iterations. An unsupervised step is used to define pure training samples, and a hybrid supervised step is employed to learn a classification model for assigning references to authors. Our classification scheme combines the Optimum-Path Forest (OPF) classifier with complex reference similarity functions generated by a Genetic Programming framework. Experiments demonstrate that the proposed method yields better results than state-of-the-art disambiguation methods on two traditional datasets.

[5] Domain-specific image geocoding: a case study on Virginia tech building photos Preservation II / Li, Lin Tzy / Penatti, Otávio A. B. / Fox, Edward A. / Torres, Ricardo da S. JCDL'13: Proceedings of the 2013 ACM/IEEE-CS Joint Conference on Digital Libraries 2013-07-22 p.363-366
ACM Digital Library Link
Summary: The use of map-based browser services is of great relevance in numerous digital libraries. The implementation of such services, however, demands the use of geocoded data collections. This paper investigates the use of image content local representations in geocoding tasks. Performed experiments demonstrate that some of the evaluated descriptors yield effective results in the task of geocoding VT building photos. This study is the first step to geocode multimedia material related to the VT April 16, 2007 school shooting tragedy.

[6] The evaluation of interface aesthetics Methods and concepts / Mõttus, Mati / Pajusalu, Maarja / Lamas, David / Torres, Rui Proceedings of the 2013 International Conference on Multimedia, Interaction, Design and Innovation 2013-06-24 p.3
ACM Digital Library Link
Summary: There are many factors that contribute towards good user experience (Roto, Law, Vermeeren and Hoonhout, 2011). These factors include the content and its organization, the functionality and features, the information and interaction design, as well as the visual design (Garett, 2002; Morville's, 2004; and Hassenzahl, 2005).
    This paper builds on the contribution of visual design into user experience as grounds to tackle the assessment of visual aesthetics evaluation methods. The intention of the study is to test objective and subjective evaluation methods with the same objects for comparison. Finding out the correlations between the objective and subjective evaluation results enables the usage of computerized image analysis for the purposes of evaluating aesthetics. The work reported in this paper thus contributes towards identifying a suitable objective method for a mathematical description of beauty.

[7] Exploiting clustering approaches for image re-ranking / Pedronette, Daniel Carlos Guimarães / Torres, Ricardo da S. Journal of Visual Languages & Computing 2011-12 v.22 n.6 p.453-466
Keywords: Content-based image retrieval
Keywords: Re-ranking
Keywords: Distance optimization
Keywords: Clustering
Link to Article at sciencedirect
Summary: This paper presents the Distance Optimization Algorithm (DOA), a re-ranking method aiming to improve the effectiveness of Content-Based Image Retrieval (CBIR) systems. DOA considers an iterative clustering approach based on distances correlation and on the similarity of ranked lists. The algorithm explores the fact that if two images are similar, their distances to other images and therefore their ranked lists should be similar as well. We also describe how DOA can be used to combine different descriptors and then improve the quality of results of CBIR systems. Conducted experiments involving shape, color, and texture descriptors demonstrate the effectiveness of our method, when compared with state-of-the-art approaches.

[8] Adaptive parallel approximate similarity search for responsive multimedia retrieval Image retrieval / Teodoro, George / Valle, Eduardo / Mariano, Nathan / Torres, Ricardo / Meira, Wagner, Jr. Proceedings of the 2011 ACM Conference on Information and Knowledge Management 2011-10-24 p.495-504
ACM Digital Library Link
Summary: This paper introduces Hypercurves, a flexible framework for providing similarity search indexing to high throughput multimedia services. Hypercurves efficiently and effectively answers k-nearest neighbor searches on multigigabyte high-dimensional databases. It supports massively parallel processing and adapts at runtime its parallelization regimens to keep answer times optimal for either low and high demands. In order to achieve its goals, Hypercurves introduces new techniques for selecting parallelism configurations and allocating threads to computation cores, including hyperthreaded cores. Its efficiency gains are throughly validated on a large database of multimedia descriptors, where it presented near linear speedups and superlinear scaleups. The adaptation reduces query response times in 43% and 74% for both platforms tested, when compared to the best static parallelism regimens.

[9] Use of subimages in fish species identification: a qualitative study On the formality, or not, of annotations / Murthy, Uma / Li, Lin Tzy / Hallerman, Eric / Fox, Edward A. / Perez-Quinones, Manuel A. / Delcambre, Lois M. / Torres, Ricardo da S. JCDL'11: Proceedings of the 2011 Joint International Conference on Digital Libraries 2011-06-13 p.185-194
ACM Digital Library Link
Summary: Many scholarly tasks involve working with subdocuments, or contextualized fine-grain information, i.e., with information that is part of some larger unit. A digital library (DL) facilitates management, access, retrieval, and use of collections of data and metadata through services. However, most DLs do not provide infrastructure or services to support working with subdocuments. Superimposed information (SI) refers to new information that is created to reference subdocuments in existing information resources. We combine this idea of SI with traditional DL services, to define and develop a DL with SI (SI-DL). We explored the use of subimages and evaluated the use of SuperIDR, a prototype SI-DL, in fish species identification, a scholarly task that involves working with subimages. The contexts and strategies of working with subimages in SuperIDR suggest new and enhanced support (SI-DL services) for scholarly tasks that involve working with subimages, including new ways of querying and searching for subimages and associated information. The main conceptual contributions of our work are the insights gained from these findings of the use of subimages and of SuperIDR, which lead to recommendations for the design of digital libraries with superimposed information.

[10] CTRnet DL for disaster information services Poster session / Yang, Seungwon / Kavanaugh, Andrea / Kozievitch, Nádia P. / Li, Lin Tzy / Srinivasan, Venkat / Sheetz, Steven D. / Whalen, Travis / Shoemaker, Donald / Torres, Ricardo da S / Fox, Edward A. JCDL'11: Proceedings of the 2011 Joint International Conference on Digital Libraries 2011-06-13 p.437-438
ACM Digital Library Link
Summary: We describe our work in collecting, analyzing and visualizing online information (e.g., Web documents, images, tweets), which are to be maintained by the Crisis, Tragedy and Recovery Network (CTRnet) digital library. We have been collecting resources about disaster events, as well as campus and other major shooting events, in collaboration with the Internet Archive (IA). Social media data (e.g., tweets, Facebook data) also have been collected and analyzed. Analyzed results are visualized using graphs and tag clouds. Exploratory content-based image retrieval has been applied in one of our image collections. We explain our CTR ontology development methodology and collaboration with Arlington County, VA and IBM, in a Center for Community Security and Resilience funded project.

[11] BP-tree: an efficient index for similarity search in high-dimensional metric spaces Poster session 1: DB track / Almeida, Jurandy / Torres, Ricardo da S. / Leite, Neucimar J. Proceedings of the 2010 ACM Conference on Information and Knowledge Management 2010-10-26 p.1365-1368
ACM Digital Library Link
Summary: Similarity search in high-dimensional metric spaces is a key operation in many applications, such as multimedia databases, image retrieval, object recognition, and others. The high dimensionality of the data requires special index structures to facilitate the search. Most of existing indexes are constructed by partitioning the data set using distance-based criteria. However, those methods either produce disjoint partitions, but ignore the distribution properties of the data; or produce non-disjoint groups, which greatly affect the search performance. In this paper, we study the performance of a new index structure, called Ball-and-Plane tree (BP-tree), which overcomes the above disadvantages. BP-tree is constructed by recursively dividing the data set into compact clusters. Distinctive from other techniques, it integrates the advantages of both disjoint and non-disjoint paradigms in order to achieve a structure of tight and low overlapping clusters, yielding significantly improved performance. Results obtained from an extensive experimental evaluation with real-world data sets show that BP-tree consistently outperforms state-of-the-art solutions.

[12] A Teaching Tool for Parasitology: Enhancing Learning with Annotation and Image Retrieval Posters / Kozievitch, Nádia P. / Torres, Ricardo da Silva / Andrade, Felipe S. P. / Murthy, Uma / Fox, Edward A. / Hallerman, Eric ECDL 2010: Proceedings of the European Conference on Digital Libraries 2010-09-06 p.466-469
Link to Digital Content at Springer
Summary: Parasitology is a basic course in life sciences curricula, but up to now it has few computer-assisted teaching tools. We present SuperIDR, a tool which supports annotation and search (based on a textual and a visual description) in the biodiversity domain. In addition, it provides a feature to aid comparison of morphological characteristics among different species. Preliminary results with two experiments show that students found the tool to be very useful, contributing to an alternative learning approach.

[13] User-Oriented Evaluation of Color Descriptors for Web Image Retrieval Posters / Penatti, Otávio Augusto Bizetto / Torres, Ricardo da Silva ECDL 2010: Proceedings of the European Conference on Digital Libraries 2010-09-06 p.486-489
Keywords: user evaluation; color descriptors; content-based image retrieval; web
Link to Digital Content at Springer
Summary: This paper proposes a methodology for effectiveness evaluation in content-based image retrieval systems. The methodology is based on the opinion of real users. This paper also presents the results of using this methodology to evaluate color descriptors for Web image retrieval. The experiments were performed using a database containing more than 230 thousand heterogeneous images that represents the existing content on the Web.

[14] Annotating data to support decision-making: a case study Annotation, relevance ranking and evaluation / Macário, Carla Geovana N. / Santos, Jefersson A. dos / Medeiros, Claudia Bauzer / Torres, Ricardo da S. Proceedings of the 2010 Workshop on Geographic Information Retrieval 2010-02-18 p.20
Keywords: geospatial data, geospatial standards, remote sensing image classification, semantic annotation
ACM Digital Library Link
Summary: Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate. Moreover, annotation requires multi-disciplinary collaboration of researchers, with access to heterogeneous and distributed data sources and scientific computations. This paper illustrates our solution to approach this problem by means of a case study in agriculture. It shows how our implementation of a framework to automate the annotation of geospatial data can be used to process real data from remote sensing images and other official Brazilian data sources.

[15] Superimposed Image Description and Retrieval for Fish Species Identification Information Retrieval / Murthy, Uma / Fox, Edward A. / Chen, Yinlin / Hallerman, Eric / Torres, Ricardo da Silva / Ramos, Evandro J. / Falcão, Tiago R. C. ECDL 2009: Proceedings of the European Conference on Digital Libraries 2009-09-27 p.285-296
Keywords: superimposed information; image annotation; image retrieval; fish; species identification; biodiversity; user study
Link to Digital Content at Springer
Summary: Fish species identification is critical to the study of fish ecology and management of fisheries. Traditionally, dichotomous keys are used for fish identification. The keys consist of questions about the observed specimen. Answers to these questions lead to more questions till the reader identifies the specimen. However, such keys are incapable of adapting or changing to meet different fish identification approaches, and often do not focus upon distinguishing characteristics favored by many field ecologists and more user-friendly field guides. This makes learning to identify fish difficult for Ichthyology students. Students usually supplement the use of the key with other methods such as making personal notes, drawings, annotated fish images, and more recently, fish information websites, such as Fishbase. Although these approaches provide useful additional content, it is dispersed across heterogeneous sources and can be tedious to access. Also, most of the existing electronic tools have limited support to manage user created content, especially that related to parts of images such as markings on drawings and images and associated notes. We present SuperIDR, a superimposed image description and retrieval tool, developed to address some of these issues. It allows users to associate parts of images with text annotations. Later, they can retrieve images, parts of images, annotations, and image descriptions through text- and content-based image retrieval. We evaluated SuperIDR in an undergraduate Ichthyology class as an aid to fish species identification and found that the use of SuperIDR yielded a higher likelihood of success in species identification than using traditional methods, including the dichotomous key, fish web sites, notes, etc.

[16] Species identification: fish images with CBIR and annotations Posters / Murthy, Uma / Fox, Edward A. / Chen, Yinlin / Hallerman, Eric / Torres, Ricardo / Ramos, Evandro J. / Falcao, Tiago R. C. JCDL'09: Proceedings of the 2009 Joint International Conference on Digital Libraries 2009-06-15 p.435-436
Keywords: CBIR, fish species identification, image annotation, image retrieval, user study
ACM Digital Library Link

[17] Growing up programming: democratizing the creation of dynamic, interactive media Panels / Resnick, Mitchel / Flanagan, Mary / Kelleher, Caitlin / MacLaurin, Matthew / Ohshima, Yoshiki / Perlin, Ken / Torres, Robert Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009-04-04 v.2 p.3293-3296
Keywords: children, education, end-user programming, learning, literacy
ACM Digital Library Link
Summary: Young people interact with games, animations, and simulations all of the time. But few of them are able to create interactive media. The obstacle: traditional programming languages are too difficult to learn and understand. This panel brings together a group of researchers, developers, and educators who are aiming to democratize the activity of programming. They are developing a new generation of programming environments that enable children and teens to create their own interactive games, stories, animations, and simulations. Panelists will discuss and critique their programming environments, then set up interactive demonstration stations for focused exploration and small-group discussion. Audience members will also have the opportunity to download the environments onto their own laptops, so that they can experiment in greater depth.

[18] From concepts to implementation and visualization: tools from a team-based approach to ir Demonstrations / Murthy, Uma / Torres, Ricardo da Silva / Fox, Edward A. / Venkatachalam, Logambigai / Yang, Seungwon / Gonçalves, Marcos A. Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2008-07-20 p.889
ACM Digital Library Link
Summary: Researchers have been studying and developing teaching materials for information retrieval (IR), such as [3]. Toolkits also have been built that provide hands-on experience to students. For example, IR-Toolbox [4] is an effort to close the gap between the students' understanding of IR concepts and real-life indexing and search systems. Such tools might be good for helping students in non-technical areas such as in the Library and Information Science field to develop their conceptual model of search engines. However, they do not cover emerging topics and skills, such as content-based image retrieval (CBIR) and fusion search. Although there is open source software (such as those in www.searchtools.com/tools/tools-opensource.html)?... that can be used to teach basic and advanced IR topics, they require a student to have high-level technical knowledge and to spend a long time to gain a practical understanding of these topics.
    We present a new and rapid approach to teach basic and advanced IR topics, such as text retrieval, web-based IR, CBIR, and fusion search, to Computer Science (CS) graduate students. We designed projects that would help students grasp the above-mentioned IR topics. Students, working in teams, were given a practical application to start with -- the Superimposed Application for Image Description and Retrieval [5]. SAIDR (earlier, SIERRA) allows users to associate parts of images with multimedia information such as text annotations. Also, users may retrieve information in one of two 2 ways: (1) Perform text-based retrieval on annotations; (2) Perform CBIR on images and parts of images that look like a query image (or part of a query image).
    Each team was asked to build an enhancement for this application, involving text retrieval and/or CBIR, in three weeks time. The sub-projects are described in Table 1. The outcome of this activity was that students learned about IR concepts while being able to relate their applicability to a real world problem (Figure 1). Details of these projects may be found at collab.dlib.vt.edu/runwiki/wiki.pl?... We will demonstrate the tools developed along with the IR concepts they illustrate (Table 1). We believe these tools may aid others to learn about basic and advanced topics in IR.

[19] A Content-Based Image Retrieval Service for Archaeology Collections Posters / Vemuri, Naga Srinivas / Torres, Ricardo da Silva / Shen, Rao / Gonçalves, Marcos André / Fan, Weiguo / Fox, Edward A. ECDL 2006: Proceedings of the European Conference on Digital Libraries 2006-09-17 p.438-440
Link to Digital Content at Springer
Summary: Archeological sites have heterogeneous information ranging from different artifacts, image data, geo-spatial information, chronological data, and other relevant metadata. ETANA-DL, an archaeology digital library, provides various services by integrating the heterogeneous data available in different collections. This demonstration presents an initial prototype for searching DL objects based on the image content, using the Content-Based Image Search Component (CBISC) from Virginia Tech/State University of Campinas.

[20] SIERRA -- A Superimposed Application for Enhanced Image Description and Retrieval Posters / Murthy, Uma / Torres, Ricardo da Silva / Fox, Edward A. ECDL 2006: Proceedings of the European Conference on Digital Libraries 2006-09-17 p.540-543
Link to Digital Content at Springer
Summary: In this demo proposal, we describe our prototype application, SIERRA, which combines text-based and content-based image retrieval and allows users to link together image content of varying document granularity with related data like annotations. To achieve this, we use the concept of superimposed information (SI), which enables users to (a) deal with information of varying granularity (sub-document to complete document), and (b) select or work with information elements at sub-document level while retaining the original context.

[21] Exploring digital libraries: integrating browsing, searching, and visualization Visualization for libraries / Shen, Rao / Vemuri, Naga Srinivas / Fan, Weiguo / Torres, Ricardo da S. / Fox, Edward A. JCDL'06: Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries 2006-06-11 p.1-10
ACM Digital Library Link
Summary: Exploring services for digital libraries (DLs) include two major paradigms, browsing and searching, as well as other services such as clustering and visualization. In this paper, we formalize and generalize DL exploring services within a DL theory. We develop theorems to indicate that browsing and searching can be converted or mapped to each other under certain conditions. The theorems guide the design and implementation of exploring services for an integrated archaeological DL, ETANA-DL. Its integrated browsing and searching can support users in moving seamlessly between these operations, minimizing context switching, and keeping users focused. It also integrates browsing and searching into a single visual interface for DL exploration. A user study to evaluate ETANA-DL's exploring services helped validate our hypotheses.

[22] Enhancing digital libraries with TechLens+ Collaboration and group work / Torres, Roberto / McNee, Sean M. / Abel, Mara / Konstan, Joseph A. / Riedl, John JCDL'04: Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital Libraries 2004-06-07 p.228-236
ACM Digital Library Link
Summary: The number of research papers available is growing at a staggering rate. Researchers need tools to help them find the papers they should read among all the papers published each year. In this paper, we present and experiment with hybrid recommender algorithms that combine Collaborative Filtering and Content-based. Filtering to recommend research papers to users. Our hybrid algorithms combine the strengths of each filtering approach to address their individual weaknesses. We evaluated our algorithms through offline experiments on a database of 102, 000 research papers, and through an online experiment with 110 users. For both experiments we used a dataset created from the CiteSeer repository of computer science research papers. We developed separate English and Portuguese versions of the interface and specifically recruited American and Brazilian users to test for cross-cultural effects. Our results show that users value paper recommendations, that the hybrid algorithms can be successfully combined, that different algorithms are more suitable for recommending different kinds of papers, and that users with different levels of experience perceive recommendations differently These results can be applied to develop recommender systems for other types of digital libraries.

[23] Using digital library components for biodiversity systems Posters / Torres, Ricardo da Silva / Medeiros, Claudia Bauzer / Dividino, Renata Queiroz / Figueiredo, Mauricio Augusto / Goncalves, Marcos Andre / Fox, Edward A. / Richardson, Ryan JCDL'04: Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital Libraries 2004-06-07 p.408
ACM Digital Library Link
Summary: Biodiversity information systems (BISs) involve all kinds of heterogeneous data, which include ecological and geographical features. However, available information systems offer very limited support for managing such data in an integrated fashion, and such integration is often based on geographic coordinates alone. Furthermore, such systems do not fully support image content management (e.g. photos of landscapes or living organisms), a requirement of many BIS end-users. In order to meet their needs, these users -- e.g. biologists, environmental experts -- often have to alternate between distinct biodiversity and image information systems to combine information extracted from them. This cumbersome operational procedure is forced on users by lack of interoperability among these systems. This hampers the addition of new data sources, as well as cooperation among scientists. The approach provided in this project to meet these issues is based on taking advantage of advances in Digital Library (DL) innovations to integrate networked collections of heterogeneous data. It focuses on creating the basis for a biodiversity information system under the digital library perspective, combining new techniques of content-based image retrieval and database query processing mechanisms. This approach solves the problem of system switching, and provides users with a flexible platform from which to tailor a BIS to their needs. The main contributions of this project are the following: (a) a generic architecture for managing heterogeneous collections, based on digital library components, to access heterogeneous biodiversity data sources (text and images), that allows combining text-based and content-based queries in a seamless way; and (b) a new component, for content-based image search, integrated into that architecture. The proposed architecture has been implemented by using DL components which are mostly new or recently developed. Furthermore, its implementation uses the Open Archives Initiative (OAI) protocol as a basis for interoperability. This architecture is easily extensible, and provides users a considerable degree of flexibility in data management. To illustrate our claim that this architecture can be applied to several domains, we are investigating its application in building a biodiversity information system on fish species. This solution solves many current problems in this kind of system, allowing handling of images and textual information in an integrated fashion. A new Content-Based Image Search Component has been developed to support queries on image collections. Since this component is based onthe OAI principles, it provides an easy-to-install search engine to query images by content. It can be readily tailored for a particular collection by a trained designer, who carries out a clearly defined set of pilot experiments. It supports the use of different image descriptors, which can be chosen from the pilot experiment, and then easily combined to yield improved effectiveness. In addition, it encapsulates a multidimensional index structure to speed up the search process, that also can be easily configured for different image collections.

[24] An OAI compliant content-based image search component Demonstrations / Torres, Ricardo da Silva / Medeiros, Claudia Bauzer / Goncalves, Marcos Andre / Fox, Edward A. JCDL'04: Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital Libraries 2004-06-07 p.418
ACM Digital Library Link
Summary: Advances in data storage and image acquisition technologies have enabled the creation of large image datasets. In order to deal with these data, appropriate information systems (e.g. image digital libraries) have been developed to efficiently manage such collections. One of the most common retrieval approaches is to employ so-called Content-Based Image Retrieval (CBIR) systems. Basically, these systems try to retrieve images similar to a user-defined pattern (e.g. image example). Their goal is to support image retrieval based on content properties (e.g. shape, color, or texture), which are often encoded in terms of image descriptors. This demonstration presents a new CBIR system based on configurable components. The main novelty resides in its Content-Based Image Search Component (CBISC) that supports queries on image collections. CBISC is based on the OAI principles, and thus provides an easy-to-install search engine to support querying images by content. As with the OAI protocol, queries are posed via HTTP requests and the responses are encoded in XML. CBISC encapsulates multidimensional index structures to speed up the search process. Furthermore, it supports the use of different image descriptors (metric and non-metric; color, texture, and shape descriptors; with 1D or 2D feature vectors), which can be easily combined to yield improved effectiveness. We will show that this search component can be tailored for particular image collections by a trained designer, who carries out a clearly defined set of pilot experiments to select the appropriate descriptors. Image descriptors are typically domain and usage-dependent. Further, a given image can be associated with very many descriptors. However, standard CBIR methods only support a fixed set of descriptors. CBISC, instead, allows progressive extension of the descriptor base. Figure 1 presents a screen shot showing the CBISC Configuration Tool developed to support CBISC designers in the configuration process. Basically, this process concerns the description/definition of both the image descriptors that will be used to retrieve images by content, and the image database to which the CBISC is related. The XML file generated in this process is used during CBISC execution.

[25] AUTHORED BOOK Practitioners handbook for user interface design and development / Torres, R. J. 2002 p.375 Prentice Hall
ISBN: 0-13-091296-4
Part 1 Preliminaries
	1 Introduction
	2 User-Centered Design Through Delivery
	3 Understanding People
	4 A User-Centered Product Team
	5 Popular UI Styles
	6 Participatory Methods
	7 A Word About Tools
Part 2 Getting Started
	8 Planning a UI Design and Development Effort
	9 Requirements
	10 Users, Their Work Environment, and Tasks
	11 Conceptual Design and Architecture
	12 Principles, Guidelines, and Style Guides
	13 Mockups, Simulations, and Prototypes
	14 Usability Evaluation
	15 Iteration
Part 3 Getting Serious
	16 High Level Design
	17 Specification Techniques
	18 Low-Level Design
	19 Product Construction, Test, and Deployment
Part 4 Wrapping Up
	20 Looking Back and Beyond
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