Motion-compensated residue based temporal search range prediction

Abstract

Efficient temporal search range predication for motion estimation in video coding is provided where complexity of using multiple reference frames in multiple reference frame motion estimation (MRFME) can be evaluated over a desired performance level. In this regard, a gain can be determined for using regular motion estimation or MRFME, and a number of frames if the latter is chosen. Thus, the computational complexity of MRFME and / or a large temporal search range can be utilized where it provides at least a threshold gain in performance. Conversely, if the complex calculations of MRFME do not provide sufficient benefit to the video block prediction, a smaller temporal search range (a less number of reference frames) can be used, or regular motion editing can be chosen over MRFME.

Description

technical field [0001] The following description relates generally to digital video coding and, in particular, to a technique for motion estimation using one or more reference frames of a temporal search range. Background technique [0002] The evolution of computer and networking technology from high-cost, low-performance data processing systems to low-cost, high-performance communication, problem-solving, and entertainment systems has increased the need to digitally store and transmit audio and video signals on computers or other electronic devices and wishes. For example, computer users play / record audio and video on their personal computers every day. To facilitate this technique, audio / video signals may be encoded into one or more digital formats. Personal computers can be used to digitally encode signals from audio / video capture devices such as video cameras, digital cameras, tape recorders, and the like. Additionally or alternatively, the device itself may encode t...

AI Technical Summary

Problems solved by technology

However, as the number of frames utilized in MRFME increases, its computational complexity also increases

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