Paper Info
Title
Research on Fast Algorithm for Video ROI Detection.
Abstract
It is a hot topic to combine visual perception principles in video encoding. A fast algorithm for region of interest (ROI) detection based on human visual system (HVS) and coding information is proposed in this paper. Low-level coding information is employed as the characteristics of visual perception analysis in order to avoid a large amount of computation for visual perception characteristics analysis processing. Then, video ROI detection is carried out in temporal domain and spatial domain respectively. Last, combine the two domains saliency detection results to mark the video ROI level. The simulation results validate that the proposed algorithm by means of fast motion vector (MV) noise filtering and translational MV checking procedure, then realize fast visual perception characteristics analysis and ROI detection effectively. © 2013 ACADEMY PUBLISHER.
Year
DOI
Venue
2013
10.4304/jsw.8.11.2871-2880
JSW
Keywords
Field
DocType
motion vector (mv),region of interest (roi),temporal and spatial domain,visual perception characteristics
Computer vision,Human visual system model,Salience (neuroscience),Computer science,Algorithm,Filter (signal processing),Coding (social sciences),Artificial intelligence,Region of interest,Visual perception,Motion vector,Computation
Journal
Volume
Issue
Citations 
8
11
1
PageRank 
References 
Authors
0.39
8
2
Name
Order
Citations
PageRank
Pengyu Liu12315.07
Ke-Bin Jia212644.30