DocumentCode :
2554152
Title :
Automatic Feature Extraction to COSMOS-7 Content Models
Author :
Parmar, Minaz J.
Author_Institution :
Brunel Univ., London
fYear :
2007
fDate :
17-18 Dec. 2007
Firstpage :
245
Lastpage :
248
Abstract :
Extracting and modeling multimedia content in MPEG-7 is a laborious task as most systems use manual or partially automatic extraction methods. Systems that use partially automatic extraction techniques tend to use a limited set of features that are of little or no use to other applications negating the purpose of the MPEG-7 standard. In this paper we present our automatic extraction methods for the structural components of media. In particular, we extract from scenes, shots, objects and spatial and temporal relationships. These features are then processed and incorporated into an MPEG-7 content model that is rich enough to facilitate content filtering.
Keywords :
feature extraction; video coding; COSMOS-7 content models; MPEG-7; automatic extraction methods; automatic feature extraction; content filtering; multimedia content; Data mining; Decision support systems; Feature extraction; Filtering; Indexing; Layout; MPEG 7 Standard; Mathematical model; Multimedia systems; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantic Media Adaptation and Personalization, Second International Workshop on
Conference_Location :
Uxbridge
Print_ISBN :
0-7695-3040-0
Type :
conf
DOI :
10.1109/SMAP.2007.30
Filename :
4414419
Link To Document :
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