DocumentCode
18482
Title
Saliency-Aware Video Compression
Author
Hadizadeh, Hadi ; Bajic, Ivan V.
Author_Institution
Sch. of Eng. Sci., Simon Fraser Univ., Burnaby, BC, Canada
Volume
23
Issue
1
fYear
2014
fDate
Jan. 2014
Firstpage
19
Lastpage
33
Abstract
In region-of-interest (ROI)-based video coding, ROI parts of the frame are encoded with higher quality than non-ROI parts. At low bit rates, such encoding may produce attention-grabbing coding artifacts, which may draw viewer´s attention away from ROI, thereby degrading visual quality. In this paper, we present a saliency-aware video compression method for ROI-based video coding. The proposed method aims at reducing salient coding artifacts in non-ROI parts of the frame in order to keep user´s attention on ROI. Further, the method allows saliency to increase in high quality parts of the frame, and allows saliency to reduce in non-ROI parts. Experimental results indicate that the proposed method is able to improve visual quality of encoded video relative to conventional rate distortion optimized video coding, as well as two state-of-the art perceptual video coding methods.
Keywords
discrete cosine transforms; encoding; motion estimation; optimisation; video coding; ROI-based video coding; attention-grabbing coding artifacts; bit rates; conventional rate distortion optimized video coding; encoded video; encoding; nonROI parts; region-of-interest-based video coding; saliency-aware video compression method; salient coding artifacts; state-of-the art perceptual video coding methods; visual quality; Bit rate; Computational modeling; Discrete cosine transforms; Encoding; Quantization (signal); Video coding; Visualization; DCT; Video compression; global motion estimation; visual saliency;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2013.2282897
Filename
6605606
Link To Document