Automatic text processing
International Journal of Computer Vision
Efficient and effective querying by image content
Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Automatic content-based retrieval of broadcast news
Proceedings of the third ACM international conference on Multimedia
A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
Machine Learning
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
The Truth about Corel - Evaluation in Image Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Editorial introduction: video retrieval and summarization
Computer Vision and Image Understanding - Special isssue on video retrieval and summarization
A pivot-based index structure for combination of feature vectors
Proceedings of the 2005 ACM symposium on Applied computing
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Spatio-temporal pyramid matching for sports videos
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Adaptive training of video sets for image recognition on mobile phones
Personal and Ubiquitous Computing
A Four-Factor User Interaction Model for Content-Based Image Retrieval
ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory
IEEE Transactions on Circuits and Systems for Video Technology
Enabling Effective User Interactions in Content-Based Image Retrieval
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
A group of novel approaches and a toolkit for motion capture data reusing
Multimedia Tools and Applications
A movie classifier based on visual features
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Comparing dissimilarity measures for content-based image retrieval
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
An efficient keyframe extraction from motion capture data
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Trading precision for speed: localised similarity functions
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Image browsing: semantic analysis of NNk
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
Fractional distance measures for content-based image retrieval
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Caption text and keyframe based video retrieval system
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
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We investigate the application of a variety of content-based image retrieval techniques to the problem of video retrieval. We generate large numbers of features for each of the key frames selected by a highly effective shot boundary detection algorithm to facilitate a query by example type search. The retrieval performance of two learning methods, boosting and k-nearest neighbours, is compared against a vector space model. We carry out a novel and extensive evaluation to demonstrate and compare the usefulness of these algorithms for video retrieval tasks using a carefully created test collection of over 6000 still images, where performance is measured against relevance judgements based on human image annotations. Three types of experiment are carried out: classification tasks, category searches (both related to automated annotation and summarisation of video material) and real world searches (for navigation and entry point finding). We also show graphical results of real video search tasks using the algorithms, which have not previously been applied to video material in this way.