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{ "item_title" : "Computer Vision for Multimedia Applications", "item_author" : [" Jinjun Wang", "Jian Cheng", "Shuqiang Jiang "], "item_description" : "Although a number of methods for solving computer vision tasks exist, these methods are often task-specific and can seldom be generalized over a wide range of applications. In addition, many computer vision algorithms have not been thoroughly studied. Computer Vision for Multimedia Applications: Methods and Solutions includes the latest developments in computer vision methods applicable to various problems in multimedia computing. This publication presents discussions on new ideas, as well as problems in computer vision and multimedia computing. It will serve as an important reference in multimedia and computer vision for academicians, researchers, and academic libraries.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/60/960/024/160960024X_b.jpg", "price_data" : { "retail_price" : "180.00", "online_price" : "180.00", "our_price" : "180.00", "club_price" : "180.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Computer Vision for Multimedia Applications|Jinjun Wang

Computer Vision for Multimedia Applications : Methods and Solutions

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Overview

Although a number of methods for solving computer vision tasks exist, these methods are often task-specific and can seldom be generalized over a wide range of applications. In addition, many computer vision algorithms have not been thoroughly studied. Computer Vision for Multimedia Applications: Methods and Solutions includes the latest developments in computer vision methods applicable to various problems in multimedia computing. This publication presents discussions on new ideas, as well as problems in computer vision and multimedia computing. It will serve as an important reference in multimedia and computer vision for academicians, researchers, and academic libraries.

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Details

  • ISBN-13: 9781609600242
  • ISBN-10: 160960024X
  • Publisher: Information Science Reference
  • Publish Date: October 2010
  • Dimensions: 11.2 x 8.6 x 0.9 inches
  • Shipping Weight: 2.4 pounds
  • Page Count: 354

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