Video Content Analysis Using Multimodal Information
C.C. Jay Kuo, Ying Li, 2010More than 10 pieces in stock at supplier
Product details
The book "Video Content Analysis Using Multimodal Information" offers a comprehensive examination of the techniques for analyzing, indexing, and presenting video content. Given the rapid growth of multimedia information, the importance of content-based video analysis is becoming increasingly clear. This specialized book addresses various applications ranging from video-on-demand to digital video libraries and surveillance systems. It discusses the development of international standards such as MPEG-7, which underscore the need for structured video indexing and retrieval. The author, Ying Li, guides readers through existing approaches and modern techniques in this field, presenting a system that analyzes and indexes films by integrating multiple media modalities. The detailed analysis includes both raw and compressed video data and provides innovative solutions for detecting commercial breaks that utilize both acoustic and visual cues.
topic | Technology & IT |
Author | C.C. Jay Kuo, Ying Li |
Year | 2010 |
Number of pages | 194 |
Book cover | Paperback |
Item number | 55379836 |
Publisher | Springer |
Category | Reference books |
Release date | 4.3.2025 |
topic | Technology & IT |
Author | C.C. Jay Kuo, Ying Li |
Year | 2010 |
Number of pages | 194 |
Book cover | Paperback |
CO₂ emissions | 0,5 kg |
Climate contribution | EUR 0,12 |
Product Safety |
30-day right of return if unopened
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