Patent №
US 8,155,195
Granted
2012-04-10
Filed 2006
Owner
MICROSOFT CORPORATION
Lab
AI components
1
vision
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
11400049
Techniques and tools for switching distortion metrics during motion estimation are described. For example, a video encoder determines a distortion metric selection criterion for motion estimation. The criterion can be based on initial results of the motion estimation. To evaluate the criterion, the encoder can compare the criterion to a threshold that depends on a current quantization parameter. The encoder selects between multiple available distortion metrics, which can include a sample-domain distortion metric (e.g., SAD) and a transform-domain distortion metric (e.g., SAHD). The encoder uses the selected distortion metric in the motion estimation. Selectively switching between SAD and SAHD provides rate-distortion performance superior to using only SAD or only SAHD. Moreover, due to the lower complexity of SAD, the computational complexity of motion estimation with SAD-SAHD switching is typically less than motion estimation that always uses SAHD.
AI classification
Ownership
MICROSOFT CORPORATION
assignment · 178670001
Assignors
REGUNATHAN, SHANKAR, LIN, CHIH-LUNG, HOLCOMB, THOMAS W.
On an employer assignment, the assignors are typically the inventors.