Method and apparatus for supporting motion scalability

Abstract

A method and apparatus for supporting scalability for motion vectors in scalable video coding are provided. The motion estimation apparatus (120) includes a motion estimation module (121) searching for a variable block size and a motion vector that minimize a cost function for each layer according to predetermined pixel accuracy, a sampling module upsampling an original frame when the pixel accuracy is less than a pixel size, and before searching for a motion vector in a layer having a lower resolution than the original frame downsampling the original frame into the low resolution, a motion residual module calculating a residual between motion vectors found in the respective layers, and a rearrangement module rearranging the residuals between the found motion vectors and the found variable block size information using significance obtained from a searched lower layer. Accordingly, true motion scalability can be achieved to improve adaptability to changing network circumstances.

Description

technical field [0001] Apparatus and methods according to the present invention relate to video compression, and more particularly to providing motion vector scalability in video coding. Background technique [0002] With the development of information communication technology including the Internet, video communication as well as text and voice communication have increased extremely rapidly. Conventional text communication cannot satisfy various needs of users, and thus, multimedia services capable of providing various types of information such as text, pictures, and music have increased. Since the amount of multimedia data is usually large, the multimedia data requires a large-capacity storage medium and a wide bandwidth for transmission. Therefore, a compression encoding method is necessary for transmitting multimedia data including text, video, and audio. [0003] The basic principle of data compression is to eliminate data redundancy. By elimin...

AI Technical Summary

Problems solved by technology

Therefore, the layered approach cannot adjust the amount of motion vector information according to changing network conditions

[0022] That is, while the above method enables per-layer scalability, performance decreases when a portion of motion information is truncated at arbitrary positions in a single layer

Since motion information is arranged within a layer regardless of relative importance, truncation at arbitrary points can lead to loss of important motion information

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