Detail publikace

Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies

Originální název

Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies

Anglický název

Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies

Jazyk

en

Originální abstrakt

Block matching for motion estimation has been widely used in video compression for efficient transmission and storage of video data by reducing the temporal redundancy existing in video sequences. The motion estimation is a process which determines the motion between two frames of a video signal. This paper is primarily a review of the block matching algorithms using fast computational and winner-update strategies. Here are described and analyzed 7 different types of block matching algorithms, namely Full Search (FS), Fast Computational of Full Search (FCFS), Three Step Search (TSS), New Three Step Search (NTSS), Three Step Search with Winner Update Strategy (WinUpTSS), Four Step Search (FSS) and Diamond Search (DS) algorithms.

Anglický abstrakt

Block matching for motion estimation has been widely used in video compression for efficient transmission and storage of video data by reducing the temporal redundancy existing in video sequences. The motion estimation is a process which determines the motion between two frames of a video signal. This paper is primarily a review of the block matching algorithms using fast computational and winner-update strategies. Here are described and analyzed 7 different types of block matching algorithms, namely Full Search (FS), Fast Computational of Full Search (FCFS), Three Step Search (TSS), New Three Step Search (NTSS), Three Step Search with Winner Update Strategy (WinUpTSS), Four Step Search (FSS) and Diamond Search (DS) algorithms.

BibTex


@article{BUT103460,
  author="Ibrahim {Nahhas} and Martin {Drahanský}",
  title="Analysis of Block Matching Algorithms with Fast Computational and Winner-update Strategies",
  annote="Block matching for motion estimation has been widely used in video compression
for efficient transmission and storage of video data by reducing the temporal
redundancy existing in video sequences. The motion estimation is a process which
determines the motion between two frames of a video signal. This paper is
primarily a review of the block matching algorithms using fast computational and
winner-update strategies. Here are described and analyzed 7 different types of
block matching algorithms, namely Full Search (FS), Fast Computational of Full
Search (FCFS), Three Step Search (TSS), New Three Step Search (NTSS), Three Step
Search with Winner Update Strategy (WinUpTSS), Four Step Search (FSS) and Diamond
Search (DS) algorithms.",
  address="NEUVEDEN",
  chapter="103460",
  edition="NEUVEDEN",
  howpublished="print",
  institution="NEUVEDEN",
  number="3",
  volume="6",
  year="2013",
  month="june",
  pages="129--137",
  publisher="NEUVEDEN",
  type="journal article - other"
}