NDLI: Analysis of Video Content in Multi Codec Formats with Compacted Dither Coding

Content Provider	IEEE Xplore Digital Library
Author	Ranathunga, L. Abdullah, N.A. Zainuddin, R.
Copyright Year	2008
Description	Author affiliation: Fac. of Comput. Sci. & Inf. Technol., Univ. of Malaya, Kuala Lumpur (Ranathunga, L.; Abdullah, N.A.; Zainuddin, R.)
Abstract	The digital video content analysis and retrieval is a hot research topic in this era as videos act as an information source. However the content analysis and retrieval is not as simple as meaningful retrieval of information in a normal data system. The visual information of video data lies in high chromatic depth and density. At the same time these data uses different codecs for storage and interpretation. The differences of video codec coding system properties cause for chromatic data differences of video files. This paper elicits the difficulties of dealing with multi codec level video visual classification and it proposes an approach to handle visual features and higher level color attributes of video data even though it is in multi-codecs nature. This approach uses novel compacted dither pattern code extractor for visual classification. This extractor reduces the complexity of colour visual feature extraction and classification. Further, this approach has been tested with various lossy and loss-less video formats to generate a probabilistic coding mechanism. The results of this approach show that it can be further enhanced to calibrate a video visual classification knowledge base.
Starting Page	48
Ending Page	54
File Size	541251
Page Count	7
File Format	PDF
ISBN	9781424428991
DOI	10.1109/ICIAFS.2008.4783962
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-12
Publisher Place	Sri Lanka
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Codecs Data security Chromatic data Video visual classification Information retrieval Data systems Data mining Video codecs Information technology Information analysis Computer science Training Knowledge Layout Compacted Dither Codes Content analysis
Content Type	Text
Resource Type	Article

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