NDLI: XML representation of digital videos for visual data mining applications

Content Provider	IEEE Xplore Digital Library
Author	Smith, M. Khotanzad, A.
Copyright Year	2005
Description	Author affiliation: Southern Methodist Univ., Dallas, TX, USA (Smith, M.)
Abstract	A novel approach utilizing the eXtended Markup Language (XML) for representing digital videos is proposed. This new method is based on segmenting the video sequences into real-world objects and then translating the objects into a hierarchy that is easily represented by XML. The algorithm segments each frame of the video sequence into consistent objects without using MPEG by Leonardo Chiariglione (1999) motion vectors or intra-block information, thus eliminating common errors contributed from these computed sources. This efficient identification and representation of corresponding objects between frames allows for a host of visual data mining applications utilizing digital libraries, databases and Internet image searches. This new algorithm is tested on various video segments (pans, zooms, dissolves, close-ups, and multiple-object motion) with results included.
Starting Page	179
Ending Page	183
File Size	178142
Page Count	5
File Format	PDF
ISBN	0769523153
DOI	10.1109/ITCC.2005.300
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	XML Data mining Video sequences Markup languages Software libraries Image databases Visual databases Internet Testing Image segmentation
Content Type	Text
Resource Type	Article

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