Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bridging the semanitic gap in image retrieval
Distributed multimedia databases
MediaMill: semantic video search using the RotorBrowser
Proceedings of the 6th ACM international conference on Image and video retrieval
VideoSOM: a SOM-based interface for video browsing
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Narrowing the semantic gap - improved text-based web document retrieval using visual features
IEEE Transactions on Multimedia
ViBE: a compressed video database structured for active browsing and search
IEEE Transactions on Multimedia
Hierarchical browsing and search of large image databases
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Concept based interactive retrieval for social environment
Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access
Interactive browsing of image repositories
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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A main problem with the handling of multimedia databases is the navigation through and the search within the content of a database. The problem arises from the difference between the possible textual description (annotation) of the database content and its visual appearance. Overcoming the so called - semantic gap - has been in the focus of research for some time. This paper presents a new system for similarity-based browsing of multimedia databases. The system aims at decreasing the semantic gap by using a tree structure, built up on balanced hierarchical clustering. Using this approach, operators are provided with an intuitive and easy-to-use browsing tool. An important objective of this paper is not only on the description of the database organization and retrieval structure, but also how the illustrated techniques might be integrated into a single system.Our main contribution is the direct use of a balanced tree structure for navigating through the database of keyframes, paired with an easy-to-use interface, offering a coarse to fine similarity-based view of the grouped database content.