On the nature and fuction of explanation in intelligent information retrieval
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Explanation and interaction: the computer generation of explanatory dialogues
Explanation and interaction: the computer generation of explanatory dialogues
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified framework for semantics and feature based relevance feedback in image retrieval systems
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Use of Explanations as Mediating Device for Relevance Feedback
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
Introduction to MPEG-7: Multimedia Content Description Interface
Introduction to MPEG-7: Multimedia Content Description Interface
A survey on the use of relevance feedback for information access systems
The Knowledge Engineering Review
TRECVID: evaluating the effectiveness of information retrieval tasks on digital video
Proceedings of the 12th annual ACM international conference on Multimedia
MPEG-7 multimedia description schemes
IEEE Transactions on Circuits and Systems for Video Technology
Query feedback for interactive image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a system for video shot retrieval in which shots are retrieved based on matching video objects using a combination of colour, shape and texture. Rather than matching on individual objects, our system supports sets of query objects which in total reflect the user's object-based information need. Our work also adapts to a shifting user information need by initiating the partitioning of a user's search into two or more distinct search threads, which can be followed by the user in sequence. This is an automatic process which maps neatly to the ostensive model for information retrieval in that it allows a user to place a virtual checkpoint on their search, explore one thread or aspect of their information need and then return to that checkpoint to then explore an alternative thread. Our system is fully functional and operational and in this paper we illustrate several design decisions we have made in building it.