Title :
K-Space Content Management and Retrieval System
Author :
Izquierdo, Ebroul ; Chandramouli, Krishna ; Grzegorzek, Marcin ; Piatrik, Tomas
Author_Institution :
Univ. of London, London
Abstract :
In this contribution, the so-called "k-space content management and retrieval system " is presented. This multimodal framework is being developed within the K-Space project. K-Space is a network of leading European research teams from academia and industry conducting integrative research and dissemination activities in semantic inference for automatic and semi-automatic annotation and retrieval of multimedia content. To the large number of the system functionalities count: automatic shot detection, key-frame extraction, mpeg-7 feature extraction, multimedia content annotation, video streaming, visual search and retrieval, relevance feedback, and visual content classification. First, the system features from the user point of view are presented. Second, the theoretical description of algorithms leading to these functionalities follows.
Keywords :
content management; content-based retrieval; feature extraction; multimedia systems; relevance feedback; video retrieval; video streaming; K-space content management; MPEG-7 feature extraction; automatic shot detection; key-frame extraction; multimedia content retrieval; multimodal framework; relevance feedback; retrieval system; semi-automatic annotation; video streaming; visual content classification; visual retrieval; visual search; Content based retrieval; Content management; Data mining; Feedback; Image retrieval; Information retrieval; Multimedia systems; Signal analysis; Speech analysis; Streaming media;
Conference_Titel :
Image Analysis and Processing Workshops, 2007. ICIAPW 2007. 14th International Conference on
Conference_Location :
Modena
Print_ISBN :
978-0-7695-2921-9
DOI :
10.1109/ICIAPW.2007.32