Your Waterstones card is changing, introducing...
TELL ME MORE
Semantic Video Object Segmentation for Content-Based Multimedia Applications - The Springer International Series in Engineering and Computer Science 639 (Hardback)
  • Semantic Video Object Segmentation for Content-Based Multimedia Applications - The Springer International Series in Engineering and Computer Science 639 (Hardback)
zoom

Semantic Video Object Segmentation for Content-Based Multimedia Applications - The Springer International Series in Engineering and Computer Science 639 (Hardback)

(author), (author)
£113.00
Hardback 109 Pages / Published: 30/09/2001
  • We can order this

Usually despatched within 3 weeks

  • This item has been added to your basket
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 seamlessly into a smart segmentation system. A region and temporal adaptive algorithm was further proposed to improve the efficiency of the SIVOG system so that it is feasible to achieve nearly real-time video object segmentation with robust and accurate performances. Also included is an examination of the shape coding problem and the object segmentation problem simultaneously.
Semantic Video Object Segmentation for Content-Based Multimedia Applications will be of great interest to research scientists and graduate-level students working in the area of content-based multimedia representation and applications and its related fields.

Publisher: Springer
ISBN: 9780792375135
Number of pages: 109
Weight: 820 g
Dimensions: 235 x 155 x 9 mm
Edition: 2002 ed.

You may also be interested in...

AQA A level Computer Science
Added to basket
Artificial Intelligence: The Basics
Added to basket
Networks: A Very Short Introduction
Added to basket
Data Science from Scratch
Added to basket
Introducing Artificial Intelligence
Added to basket
Bayesian Reasoning and Machine Learning
Added to basket
Don't Make Me Think, Revisited
Added to basket
Machine Learning
Added to basket
Rocket Surgery Made Easy
Added to basket
Reinforcement Learning
Added to basket
Computer Science Illuminated
Added to basket
Computer Science: An Overview, Global Edition
Added to basket
The Elements of Computing Systems
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.