Real-valued feature indexing for music databases
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
A secure framework exploiting content guided and automated algorithms for real time video searching
Multimedia Tools and Applications
Scalable multi-feature index structure for music databases
Information Sciences: an International Journal
Diversity ranking for video retrieval from a broadcaster archive
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Classification and retrieval on macroinvertebrate image databases
Computers in Biology and Medicine
A generic content-based image retrieval framework for mobile devices
Multimedia Tools and Applications
Hierarchical navigation and visual search for video keyframe retrieval
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Machine Graphics & Vision International Journal - Special issue on Image Databases
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One of the challenges in the development of a content-based multimedia indexing and retrieval application is to achieve an efficient indexing scheme. The developers and users who are accustomed to making queries to retrieve a particular multimedia item from a large scale database can be frustrated by the long query times. Conventional indexing structures cannot usually cope with the requirements of a multimedia database, such as dynamic indexing or the presence of high-dimensional audiovisual features. Such structures do not scale well with the ever increasing size of multimedia databases whilst inducing corruption and resulting in an over-crowded indexing structure. This paper addresses such problems and presents a novel indexing technique, hierarchical cellular tree (HCT), which is designed to bring an effective solution especially for indexing large multimedia databases. Furthermore it provides an enhanced browsing capability, which enables user to make a guided tour within the database. A pre-emptive cell-search mechanism is introduced in order to prevent corruption, which may occur due to erroneous item insertions. Among the hierarchical levels that are built in a bottom-up fashion, similar items are collected into appropriate cellular structures at some level. Cells are subject to mitosis operations when the dissimilarity exceeds a required level. By mitosis operations, cells are kept focused and compact and yet, they can grow into any dimension as long as the compactness is maintained. The proposed indexing scheme is then used along with a recently introduced query method, the progressive query, in order to achieve the ultimate goal, from the user point of view that is retrieval of the most relevant items in the earliest possible time regardless of the database size. Experimental results show that the speed of retrievals is significantly improved and the indexing structure shows no sign of degradations when the database size is increased. Furthermore, HCT ind- exing body can conveniently be used for efficient browsing and navigation operations among the multimedia database items