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
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;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
DOI :
10.1109/ICIEV.2012.6317517