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Video Content Analysis Using Multimodal Information

Bag om Video Content Analysis Using Multimodal Information

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781402074905
  • Indbinding:
  • Hardback
  • Sideantal:
  • 228
  • Udgivet:
  • 30. juni 2003
  • Størrelse:
  • 160x17x241 mm.
  • Vægt:
  • 512 g.
  • 8-11 hverdage.
  • 6. december 2024
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Beskrivelse af Video Content Analysis Using Multimodal Information

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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