MOTION VECTOR DETECTION ALGORITHM USING THE STEEPEST DESCENT METHOD EFFECTIVE FOR AVOIDING LOCAL SOLUTIONS(International Workshop on Advanced Image Technology 2009)

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概要

• 論文の詳細を見る

• This paper presents a new algorithm that includes a mechanism to avoid local solutions in a motion vector detection method that uses the steepest descent method. Two different implementations of the algorithm are demonstrated using two major search methods for tree structures, depth first search and breadth first search. Furthermore, it is shown that by avoiding local solutions, both of these implementations are able to obtain smaller prediction errors compared to conventional motion vector detection methods using the steepest descent method, and are able to perform motion vector detection within an arbitrary upper limit on the number of computations. The effects that differences in the search order have on the effectiveness of avoiding local solutions are also presented.

• 社団法人電子情報通信学会の論文
• 2009-01-05

著者

• Kasezawa Tadashi

  College Of Engineering Nihon University

• Konno Yoshinori

  Hitachi Information & Control Solutions, Ltd.

• Konno Yoshinori

  Hitachi Information & Control Solutions Ltd.

関連論文

• MOTION VECTOR DETECTION ALGORITHM USING THE STEEPEST DESCENT METHOD EFFECTIVE FOR AVOIDING LOCAL SOLUTIONS(International Workshop on Advanced Image Technology 2009)

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