DocumentCode :
1691153
Title :
A new fast motion estimation method based on total least squares for video encoding
Author :
Deshpande, Sachin G. ; Hwang, Jenq-Neng
Author_Institution :
Inf. Process. Lab., Washington Univ., Seattle, WA, USA
Volume :
5
fYear :
1998
Firstpage :
2797
Abstract :
We present a new fast motion estimation method useful for high speed video encoding. Most of the motion estimation methods for video coding can be classified as block matching (BM) methods or pel recursive (PR) methods. The majority of the current fast motion estimation methods belong to block matching category. These methods try to reduce the number of search locations. Our proposed method is based on the pel recursive formulation. However, in order to achieve fast estimation, we operate on a block of pixels using a total least squares (TLS) based estimation scheme which tries to estimate the true motion vector for each block. The major advantages of the proposed method include very fast estimation, almost constant time for motion estimation for all the video sequences, fractional pel accuracy, and better performance for noisy sequences. We present extensive simulation results to illustrate the performance of the proposed method
Keywords :
image sequences; least squares approximations; motion estimation; noise; recursive estimation; video coding; TLS based estimation; block matching; constant time; fast motion estimation method; fractional pel accuracy; high speed video encoding; noisy sequences; pel recursive methods; performance; search locations reduction; simulation results; total least squares; true motion vector; video coding; video sequences; 1f noise; Decoding; Encoding; Information processing; Laboratories; Least squares approximation; Motion estimation; Motion measurement; Particle measurements; Video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.678104
Filename :
678104
Link To Document :
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