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Saliency-Aware Video Compression

2. 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 attentiongrabbing
coding artifacts, which may draw viewer’s attention way 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.

3. Existing Method
At low bit rates, such encoding may produce attentiongrabbing 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.

4. Proposed Method
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.
Merits
Complexity is high.
Demerits
Complexity is low.

5. Results
A frame from Foreman: (a) original frame (b) heat map of the actual gaze locations (c) the
saliency map generated by the IKN model (d) the saliency map generated by the proposed
method.