Paper Info
Title
A Pattern-Based Artificial Bee Colony Algorithm for Motion Estimation in Video Compression Techniques.
Abstract
Block matching (BM) motion estimation plays an inevitable role in video coding applications. BM approaches are used for data compression. The compression is achieved by removing the temporal redundancy in the video sequences. In the BM process, each video frame is subdivided into macroblocks. Each macroblock in the current frame is compared with the previous frame. The main objective is to minimize sum absolute difference. In this work, some modifications have been performed on conventional artificial bee colony algorithm to improve the conventional BM systems. An initial pattern is used in the proposed algorithm to reduce the computational cost. The computational cost is represented in terms of search points and convergence time. Experimental results results show the improvement for the proposed approach over other block matching algorithms in terms of the performance measures.
Year
DOI
Venue
2018
10.1007/s00034-017-0613-7
CSSP
Keywords
Field
DocType
Artificial bee colony,Block matching,Motion estimation,Sum absolute difference
Macroblock,Artificial bee colony algorithm,Block-matching algorithm,Mathematical optimization,Redundancy (engineering),Inter frame,Sum of absolute transformed differences,Motion estimation,Data compression,Mathematics
Journal
Volume
Issue
ISSN
37
4
0278-081X
Citations 
PageRank 
References 
0
0.34
18
Authors
2
Name
Order
Citations
PageRank
D. Jude Hemanth111922.74
J. Anitha210016.43