Stock image for illustration purposes only - book cover, edition or condition may vary.
Semantic Video Object Segmentation for Content-Based Multimedia Applications
Guo, Ju; Kuo, C.-C. Jay
€ 124.87
FREE Delivery in Ireland
Description for Semantic Video Object Segmentation for Content-Based Multimedia Applications
Hardback. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. This title provides a review of techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 109 pages, biography. BIC Classification: UG; UYT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 9. Weight in Grams: 371.
Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated ... Read more
Semantic Video Object Segmentation for Content-Based Multimedia Applications provides a thorough review of state-of-the-art techniques as well as describing several novel ideas and algorithms for semantic object extraction from image sequences. Semantic object extraction is an essential element in content-based multimedia services, such as the newly developed MPEG4 and MPEG7 standards. An interactive system called SIVOG (Smart Interactive Video Object Generation) is presented, which converts user's semantic input into a form that can be conveniently integrated with low-level video processing. Thus, high-level semantic information and low-level video features are integrated ... Read more
Product Details
Format
Hardback
Publication date
2001
Publisher
Kluwer Academic Publishers United States
Number of pages
109
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
109
Place of Publication
Dordrecht, Netherlands
ISBN
9780792375135
SKU
V9780792375135
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Semantic Video Object Segmentation for Content-Based Multimedia Applications