Compression method and apparatus for panoramic stereo video system

1. A method of compressing a stereoscopic video comprising a left view frame and a right view frame, the method comprising:

determining a texture saliency value for a first block in the left view frame by intra prediction;

determining a motion saliency value for the first block by motion estimation in inter prediction;

determining a disparity saliency value between the first block and a corresponding second block in the right view frame;

determining a quantization parameter based on the disparity saliency value, the texture saliency value, and the motion saliency value;

performing quantization of the first block in accordance with the quantization parameter;

determining a hybrid stereo saliency value for the first block by superposing the disparity saliency value, the texture saliency value, and the motion saliency value with weighting parameters;

determining a hybrid stereo saliency map for the left view frame;

in response to a size of the first block is different from a size of a transform unit, downscaling the hybrid stereo saliency map to match the dimensions of the transform unit;

determining a second quantization parameter for the transform unit; and

performing quantization of the transform unit in accordance with the second quantization parameter.

2. The method of claim 1 , further comprising:

determining the texture saliency value based on output of a DC mode intra prediction in high efficiency video coding (HEVC).

3. The method of claim 1 , further comprising:

determining a motion saliency value for the first block based on output of motion estimation in high efficiency video coding (HEVC).

4. The method of claim 1 , wherein the left view frame and the right view frame are rectified in a first direction, and the method further comprising:

searching the disparity saliency value in a second direction perpendicular to the first direction.

5. The method of claim 4 , wherein the disparity saliency value comprises a non-integer value.

6. The method of claim 5 , further comprising:

determining the disparity saliency value based on quarter-pixel samples generated by sub-pixel motion estimation in high efficiency video coding (HEVC).

7. A method of compressing a stereoscopic video comprising a left view frame and a right view frame, the method comprising:

determining a texture saliency value for a first block in the left view frame by intra prediction;

determining a motion saliency value for the first block by motion estimation in inter prediction;

determining a disparity saliency value between the first block and a corresponding second block in the right view frame;

determining a quantization parameter based on the disparity saliency value, the texture saliency value, and the motion saliency value;

performing quantization of the first block in accordance with the quantization parameter,

wherein the left view frame is divided into a plurality of non-overlapping blocks, and the motion estimation is based on a same size as the first block;

determining a hybrid stereo saliency map for the left view frame;

in response to a size of the first block is different from a size of a transform unit, downscaling the hybrid stereo saliency map to match the dimensions of the transform unit;

determining a second quantization parameter for the transform unit; and

performing quantization of the transform unit in accordance with the second quantization parameter.

8. A non-transitory computer-readable medium having stored thereon computer-executable instructions, said computer-executable instructions comprising a method of compressing a stereoscopic video comprising a left view frame and a right view frame, the method comprising:

determining a texture saliency value for a first block in the left view frame by intra prediction;

determining a motion saliency value for the first block by motion estimation;

determining a disparity saliency value between the first block and a corresponding second block in the right view frame;

determining a quantization parameter based on the disparity saliency value, the texture saliency value, and the motion saliency value;

performing quantization of the first block in accordance with the quantization parameter;

determining a hybrid stereo saliency value for the first block by superposing the disparity saliency value, the texture saliency value, and the motion saliency value with weighting parameters;

determining a hybrid stereo saliency map for the left view frame;

in response to a size of the first block is different from a size of a transform unit, downscaling the hybrid stereo saliency map to match the dimensions of the transform unit;

determining a second quantization parameter for the transform unit; and

performing quantization of the transform unit in accordance with the second quantization parameter.

9. The computer-readable medium of claim 8 , the method further comprising:

determining the texture saliency value based on output of a DC mode intra prediction in high efficiency video coding (HEVC).

10. The computer-readable medium of claim 8 , the method further comprising:

determining a motion saliency value for the first block based on output of motion estimation in high efficiency video coding (HEVC).

11. The computer-readable medium of claim 8 , wherein the left view frame is divided into a plurality of non-overlapping blocks, and the motion estimation is based on a same size as the first block.

12. The computer-readable medium of claim 8 , wherein the left view frame and the right view frame are rectified in a first direction, and the method further comprising:

searching the disparity saliency value in a second direction perpendicular to the first direction.

13. The computer-readable medium of claim 12 , wherein the disparity saliency value comprises a non-integer value.

14. The computer-readable medium of claim 13 , the method further comprising:

determining the disparity saliency value based on quarter-pixel samples generated by sub-pixel motion estimation in high efficiency video coding (HEVC).