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Video Content Analysis Using Multimodal Information - For Movie Content Extraction, Indexing and Representation (Hardcover, 2003 ed.)
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Video Content Analysis Using Multimodal Information - For Movie Content Extraction, Indexing and Representation (Hardcover, 2003 ed.)
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With the fast growth ofmultimedia information, content-based video
anal- ysis, indexing and representation have attracted increasing
attention in re- cent years. Many applications have emerged in
these areas such as video- on-demand, distributed multimedia
systems, digital video libraries, distance learning/education,
entertainment, surveillance and geographical information systems.
The need for content-based video indexing and retrieval was also
rec- ognized by ISOIMPEG, and a new international standard called
"Multimedia Content Description Interface" (or in short, MPEG-7)was
initialized in 1998 and finalized in September 2001. In this
context, a systematic and thorough review ofexisting approaches as
well as the state-of-the-art techniques in video content analysis,
indexing and representation areas are investigated and studied in
this book. In addition, we will specifically elaborate on a system
which analyzes, indexes and abstracts movie contents based on the
integration ofmultiple media modalities. Content ofeach part ofthis
book is briefly previewed below. In the first part, we segment a
video sequence into a set ofcascaded shots, where a shot
consistsofone or more continuouslyrecorded image frames. Both raw
and compressedvideo data will beinvestigated. Moreover,
consideringthat there are always non-story units in real TV
programs such as commercials, a novel commercial break
detection/extraction scheme is developed which ex- ploits both
audio and visual cues to achieve robust results. Specifically, we
first employ visual cues such as the video data statistics, the
camera cut fre- quency, and the existenceofdelimiting black frames
between commercials and programs, to obtain coarse-level detection
results.
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