Back to Search
Start Over
Saliency-Aware Video Compression
- Source :
- IEEE Transactions on Image Processing. 23:19-33
- Publication Year :
- 2014
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2014.
-
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.
- Subjects :
- Computer science
Video Recording
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Smacker video
Sensitivity and Specificity
Pattern Recognition, Automated
Motion estimation
Image Interpretation, Computer-Assisted
Photography
Discrete cosine transform
Computer vision
Block-matching algorithm
Motion compensation
business.industry
Reproducibility of Results
Signal Processing, Computer-Assisted
computer.file_format
Data Compression
Image Enhancement
Computer Graphics and Computer-Aided Design
Coding tree unit
Scalable Video Coding
Sub-band coding
Video compression picture types
Rate–distortion optimization
Video tracking
Video denoising
Artificial intelligence
Multiview Video Coding
Artifacts
business
computer
Algorithms
Software
Context-adaptive binary arithmetic coding
Data compression
Subjects
Details
- ISSN :
- 19410042 and 10577149
- Volume :
- 23
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Image Processing
- Accession number :
- edsair.doi.dedup.....ff45e892a900f5b2ccd3603abd044bc3
- Full Text :
- https://doi.org/10.1109/tip.2013.2282897