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CIVR
2004
Springer

Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval

9 years 4 months ago
Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval
Abstract. A novel approach to object-based video indexing and retrieval is presented, employing an object segmentation algorithm for the real-time, unsupervised segmentation of compressed image sequences and simple ontologies for retrieval. The segmentation algorithm uses motion information directly extracted from the MPEG-2 compressed stream to create meaningful foreground spatiotemporal objects, while background segmentation is additionally performed using color information. For the resulting objects, MPEG-7 compliant low-level indexing descriptors are extracted and are automatically mapped to appropriate intermediatelevel descriptors forming a simple vocabulary termed object ontology. This, combined with a relevance feedback mechanism, allows the qualitative definition of the high-level concepts the user queries for (semantic objects, each represented by a keyword) and the retrieval of relevant video segments. Experimental results demonstrate the effectiveness of the proposed appr...
Vasileios Mezaris, Michael G. Strintzis
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where CIVR
Authors Vasileios Mezaris, Michael G. Strintzis
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