Merging storyboard strategies and automatic retrieval for improving interactive video search
Proceedings of the 6th ACM international conference on Image and video retrieval
Video search in concept subspace: a text-like paradigm
Proceedings of the 6th ACM international conference on Image and video retrieval
Carnegie Mellon University traditional informedia digital video retrieval system
Proceedings of the 6th ACM international conference on Image and video retrieval
MediaMill: semantic video search using the RotorBrowser
Proceedings of the 6th ACM international conference on Image and video retrieval
Establishing the utility of non-text search for news video retrieval with real world users
Proceedings of the 15th international conference on Multimedia
Learning structured concept-segments for interactive video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Accumulated motion energy fields estimation and representation for semantic event detection
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Supporting video library exploratory search: when storyboards are not enough
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Adaptive multiple feedback strategies for interactive video search
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Experiments in interactive video search by addition and subtraction
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Balancing thread based navigation for targeted video search
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Query representation by structured concept threads with application to interactive video retrieval
Journal of Visual Communication and Image Representation
Multimedia Tools and Applications
Foundations and Trends in Information Retrieval
Multimedia surrogates for video gisting: Toward combining spoken words and imagery
Information Processing and Management: an International Journal
Using visual context and region semantics for high-level concept detection
IEEE Transactions on Multimedia - Special issue on integration of context and content
Comparing compact codebooks for visual categorization
Computer Vision and Image Understanding
MediaTable: a tool for categorizing multimedia collections
Proceedings of the international conference on Multimedia
Concept based interactive retrieval for social environment
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Size matters! how thumbnail number, size, and motion influence mobile video retrieval
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
VisionGo: Towards video retrieval with joint exploration of human and computer
Information Sciences: an International Journal
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Efficient targeted search using a focus and context video browser
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An Interactive Device for Quick Arabic News Story Browsing
International Journal of Mobile Computing and Multimedia Communications
NoteVideo: facilitating navigation of blackboard-style lecture videos
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
International Journal of Multimedia Data Engineering & Management
Frontiers of Computer Science: Selected Publications from Chinese Universities
Hi-index | 0.00 |
Effective video retrieval is the result of interplay between interactive query selection, advanced visualization of results, and a goal-oriented human user. Traditional interactive video retrieval approaches emphasize paradigms, such as query-by-keyword and query-by-example, to aid the user in the search for relevant footage. However, recent results in automatic indexing indicate that query-by-concept is becoming a viable resource for interactive retrieval also. We propose in this paper a new video retrieval paradigm. The core of the paradigm is formed by first detecting a large lexicon of semantic concepts. From there, we combine query-by-concept, query-by-example, query-by-keyword, and user interaction into the MediaMill semantic video search engine. To measure the impact of increasing lexicon size on interactive video retrieval performance, we performed two experiments against the 2004 and 2005 NIST TRECVID benchmarks, using lexicons containing 32 and 101 concepts, respectively. The results suggest that from all factors that play a role in interactive retrieval, a large lexicon of semantic concepts matters most. Indeed, by exploiting large lexicons, many video search questions are solvable without using query-by-keyword and query-by-example. In addition, we show that the lexicon-driven search engine outperforms all state-of-the-art video retrieval systems in both TRECVID 2004 and 2005