CHI '86 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data mountain: using spatial memory for document management
Proceedings of the 11th annual ACM symposium on User interface software and technology
Information visualization: perception for design
Information visualization: perception for design
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Faceted metadata for image search and browsing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Successful approaches in the TREC video retrieval evaluations
Proceedings of the 12th annual ACM international conference on Multimedia
A comparison of active classification methods for content-based image retrieval
Proceedings of the 1st international workshop on Computer vision meets databases
Learning the semantics of multimedia queries and concepts from a small number of examples
Proceedings of the 13th annual ACM international conference on Multimedia
Proceedings of the 13th annual ACM international conference on Multimedia
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
On the significance of cluster-temporal browsing for generic video retrieval: a statistical analysis
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Extreme video retrieval: joint maximization of human and computer performance
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Merging storyboard strategies and automatic retrieval for improving interactive video search
Proceedings of the 6th ACM international conference on Image and video retrieval
FXPAL MediaMagic video search system
Proceedings of the 6th ACM international conference on Image and video retrieval
An efficient manual image annotation approach based on tagging and browsing
Workshop on multimedia information retrieval on The many faces of multimedia semantics
Video diver: generic video indexing with diverse features
Proceedings of the international workshop on Workshop on multimedia information retrieval
Segregated feedback with performance-based adaptive sampling for interactive news video retrieval
Proceedings of the 15th international conference on Multimedia
Semantic concept-based query expansion and re-ranking for multimedia retrieval
Proceedings of the 15th international conference on Multimedia
Visual islands: intuitive browsing of visual search results
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Comparing compact codebooks for visual categorization
Computer Vision and Image Understanding
Annotation of heterogeneous multimedia content using automatic speech recognition
SAMT'07 Proceedings of the semantic and digital media technologies 2nd international conference on Semantic Multimedia
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Interactive video search using multilevel indexing
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A Learned Lexicon-Driven Paradigm for Interactive Video Retrieval
IEEE Transactions on Multimedia
Browsing Video Along Multiple Threads
IEEE Transactions on Multimedia
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Currently there are several interactive content-based video retrieval techniques and systems available. However, retrieval performance depends heavily on the means of interaction. We argue that effective CBVR requires efficient, specialized user interfaces. In this article we propose guidelines for such an interface, and we propose an effective CBVR engine: the ForkBrowser, which builds upon the principle of focus and context. This browser is evaluated using a combination of user simulation and real user evaluation. Results indicate that the ideas have merit, and that the browser performs very well when compared to the state-of-the-art in video retrieval.