DocumentCode
3511359
Title
A new fast motion vector estimation algorithm for video compression
Author
Acharjee, Suvojit ; Chaudhuri, Sheli Sinha
Author_Institution
ETCE Dept., Jadavpur Univ., Kolkata, India
fYear
2012
fDate
18-19 May 2012
Firstpage
1216
Lastpage
1219
Abstract
Motion Estimation is the most computationally expensive operation in the entire video compression process. The challenge is to reduce the computational complexity and time of Full Search Algorithm without losing too much quality at the output. In this paper, we proposed to implement a new algorithm for Motion Vector Estimation which performs better than other Block Matching Algorithms like Three Step Search (TSS), New Three Step Search (NTSS), and Four Step Search (FSS) etc.
Keywords
computational complexity; data compression; motion estimation; video coding; computational complexity; fast motion vector estimation; four step search; full search algorithm; three step search; video compression; Decoding; Frequency selective surfaces; MATLAB; PSNR; Sun; Fast motion Vector Estimation Algorithm; Motion Vector Estimation; Video Compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location
Dhaka
Print_ISBN
978-1-4673-1153-3
Type
conf
DOI
10.1109/ICIEV.2012.6317517
Filename
6317517
Link To Document