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Video Content Analysis Using Multimodal Information - For Movie Content Extraction, Indexing and Representation (Hardcover, 2003 ed.) Loot Price: R3,000
Discovery Miles 30 000
Video Content Analysis Using Multimodal Information - For Movie Content Extraction, Indexing and Representation (Hardcover,...

Video Content Analysis Using Multimodal Information - For Movie Content Extraction, Indexing and Representation (Hardcover, 2003 ed.)

Ying Li, C.-C.Jay Kuo

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Loot Price R3,000 Discovery Miles 30 000 | Repayment Terms: R281 pm x 12*

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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.

General

Imprint: Springer-Verlag New York
Country of origin: United States
Release date: June 2003
First published: 2003
Authors: Ying Li • C.-C.Jay Kuo
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Hardcover
Pages: 194
Edition: 2003 ed.
ISBN-13: 978-1-4020-7490-5
Categories: Books > Computing & IT > Computer software packages > Multimedia
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LSN: 1-4020-7490-5
Barcode: 9781402074905

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