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Motion information scalability is an important requirement for a fully scalable video codec, a novel and fully scalable motion model (SMM) is proposed to enable a scalable video codec to achieve optimality over a wide range of bit rate, resolution, and frame rate. In SMM, Full search algorithm for motion estimation can find the best matching region in the search area of the reference frame. However,...
The block motion estimation is a very time consuming part in the H.264 video coding standard. Although many fast motion estimation algorithms have been proposed to reduce the huge calculation complexity instead of full search, the motion estimation time still can not satisfy the critical real-time application. This paper proposes a new fast motion estimation algorithm, which improves on the UMHexagonS...
When Least Squares Support Vector Machine (LS-SVM) is used to classify on large datasets, training samples to get the optimal model parameters is a time-consuming and memory consumption process. To reduce training time and computational complexity, we develop a novel algorithm for selecting LS-SVM meta-parameter values based on ideas from principle of artificial immune. By analyzing LS-SVM parameters...
This paper proposes two efficient frame selection methods to improve rate distortion performance and to reduce the computation complexity for frame selection. The proposed Reference Selection Pass (RSP) method can simplify early termination conditions by using the results of the previous coded blocks. The improved frame selection (IFS) method controls the number of reference frames according to the...
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