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Dynamic Interfaces for Digital Libraries: The Open Video Project Gary Marchionini University of North Carolina at Chapel Hill march@ils.unc.edu NJ/ASIST Distinguished Lecture April 4, 2002
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Outline User Interfaces as crucial elements of DLs Overview of Open Video Project Agile Views interface framework Open Video examples of AVs User study example and near term plans Long term implications Summary
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Observations Physical libraries architect space to aid information seeking Librarians interact with patrons in many ways: –Show a welcoming face –Clarify needs and queries –Assist with retrieval and use Digital libraries depend on the user interface to serve these purposes, thus user interfaces are crucial to success of high-volume digital libraries
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Interface Principles for DLs Consider physical and conceptual interface issues. Consider representations and user control mechanisms. Provide a multiplicity of indexes (representations): Help people help themselves. Minimize user effort: A click is a radical act. Use a variety of iterative user studies to understand user needs, common tasks, and interface effects.
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Open Video Project Goals – Create an open source DL for use by researchers, students, and the public. –A testbed for interactive interfaces –An environment for building a theory of human information interaction Ongoing work: begun 1995 with colleagues at UMD Current funding: NSF# IIS-0099538, NCNI Collaborators: I2-DSI, ibiblio, CMU, UMD, NIST, Internet Archive www.open-video.org
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Current Status ~ 0.5 TB of content ~1600 video segments ~1100 different titles ~2000 unique visitors per month I2-DSI video channel OAI provider Ongoing user studies
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MPEG etc. Digitization Segmentation Keyframe Extraction Keyword (text) Surrogates Keyword (audio ) Metadata Client (Browser) Database (MySQL) AVI Search Contribute Browse Open Video Server Production System Distributed Files
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Agile Views Interface Provide a variety of access representations (e.g., indexes) and control mechanisms Usual search and browse capabilities Leverage both visual and linguistic cues Create and test surrogates for overview and preview
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Agile Views Framework
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Evolution of Agile View Design Techniques Various dynamic query interfaces (HCIL UMD) Relation Browser (BLS, SILS seminars) –Federal statistics, overviews of relationships (several different partitions). Useful for small number of attribute sets, each with small number of attribute values. Backend database of metadata, Java applet interface Enriched Links (Sony Labs) –Complex web sites, previews, overviews, and reviews of pages. Backend computation and Javascript interface Integrated overviews and previews (BLC UMD) –Multimedia digital library, backend computation, Java applet interface
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Relation Browser
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Enriched Links:Preview
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Enriched Links: Overview
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Enriched Links: Shared View
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Overviews and Previews: One Screen
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The Open Video Project Case
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Browse: by Categories & Attributes Note Results Data
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Search: by Category & Attribute
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Search: by Free Text & Keyword
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Search Results Note Mouseover Popup for Details; Click yields Next segment Bib record
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Segment Details
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Video Transcript Text
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Video Segment Preview
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Research Agenda 2001-04 What kinds of surrogates to provide for overviews and previews? Currently, we are designing and testing cost-benefit tradeoffs for: –Storyboards text keywords audio keywords –Slideshows text keywords audio keywords –Fast-forwards Integration of many specific good ideas lead to emergence or chaos?
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AgileViews Overview – Genre: Documentary Note One keyframe Per segment Shown on Mouseover; Direct select supported
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AgileViews Overview – Genre: Education
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AgileViews Overview – Color/B&W
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Previews
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Agile Views Preview – Faces
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Agile Views Preview – Superimposition
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Agile Views Preview – Brightness
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R&D Scheme
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User Study 1: Explore Surrogate Space (Fall 01) five video surrogates compared –Storyboard (6x6 grid of keyframes) with text keywords –Storyboard with audio keywords –Slide show (keyframes displayed @ 250ms per frame) with text keywords –Slide show with audio keywords –Fast forward (at 4 times original speed)
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10 subjects with video experience (about 2 hours each) Two phases –Three surrogates for each of four videos Preferences changed over time, support for ff development Gist meant: topicality, narrative structure, and visual style –One surrogate (free choice) for each of 3 videos write statement of gist Select statements of gist Object recognition (textual) Object recognition (visual) Action recognition Visual gist
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Best Worst Gist determination, free text Slide show w/ audio keywords Storyboard w/ text keywords Storyboard w/ audio keywords Fast forward Gist determination, multiple-choice Fast forwardSlide show w/ audio keywords Storyboard w/ text keywords Storyboard w/ audio keywords Object recognition, textual Storyboard w/ text keywords Fast forwardSlide show w/ audio keywords Storyboard w/ audio keywords Object recognition, graphical Storyboard w/ text keywords Slide show w/ audio keywords Fast forwardStoryboard w/ audio keywords Action recognitionFast forwardStoryboard w/ text keywords Storyboard w/ audio keywords Slide show w/ audio keywords Visual gistStoryboard w/ audio keywords Storyboard w/ text keywords Slide show w/ audio keywords Fast forward
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Next Steps (short term) Study 2 (spring 02) –Compare different fast forward rates –30 subjects Interactive Shared Educational Environment (ISEE) for video (remote study) CHI 02 –The commons with demos and study of narrativity Summer study (02) –Eye-tracking study of effects of textual and audio cues
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Next Steps (long term) From DLs to the Sharium
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Integration Hypothesis As information resources and technologies are integrated as digital libraries (sharia or collaboratories), institutional boundaries will blur. Examples: –Types of learning (formal, informal, professional) –Types of libraries –Levels of government (local, state, federal)
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Long-Term Implications for Social Sciences Research What does it mean when you can have everything you can possibly access anywhere, available everywhere? Removing the bounds of access implies ubiquity and augmented memory. What does it then mean to be informed? Intelligent? Consider a cascading set of issues such as trust, ownership/IP, communication, human relationships, and socio-technical symbiosis.
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Summary: Open Video as Testbed Give people many ‘views’ to look ahead Make these views easy to manipulate (agile) Challenges –Mapping video characteristics to surrogates (e.g., keyframes, keywords), mapping surrogates to control mechanisms (e.g., mouse actions) –Automating production processes Use the repository, contribute to the repository! We would especially like to include cultural video in the collection.
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Pointers and Thanks www.open-video.org www.ils.unc.edu/idl Thanks to: –National Science Foundation –North Carolina Networking Initiative –Contributors –NJ ASIST
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