Movement vector prediction method in resolution demixing technology

Abstract

The invention discloses a motion vector forecasting method in a resolution quantizing structure, wherein, forecasting motion vectors of macro blocks in enhancement layers are acquired by utilization of relativity of motion vectors of a time domain, a space domain and an interlayer domain. The realization process is that: on the time domain, candidate motion vectors of the time domain are acquired from motion vectors of macro blocks with the same position with the prior frame; on the space domain, candidate motion vectors of the space domain are acquired from motion vectors of adjacent blocks; on the interlayer domain, candidate motion vectors of the interlayer domain are acquired from corresponding motion vectors with low space domain resolution hierarchy; candidate motion vectors with minimum motion estimation cost are selected to be forecasting motion vectors by selection among the candidate motion vectors of the time domain, the space domain and the interlayer domain. The invention has the advantages of capability of acquiring more accurate forecasting motion vectors, capability of compressing code rate of motion vectors, and obtaining of performance gain.

Description

technical field [0001] The invention belongs to the field of scalable video coding, in particular to a motion vector prediction method in spatial resolution layering. Background technique [0002] With the rapid development of network infrastructure, storage capacity and computing power, video compression coding technology is also developing rapidly and vigorously. Currently, video coding technology covers multiple application fields such as multimedia messaging, video telephony, video conferencing, wireless and Internet video streaming, standard definition or high definition television broadcasting, and DVD storage. In these applications, various video transmission and storage systems may be deployed. Due to the heterogeneity and complexity of modern video transmission systems, as well as the diversity of video terminal requirements, traditional codec technology has been stretched. Scalable coding technology is one of the best solutions to meet the needs of modern video tr...

AI Technical Summary

Problems solved by technology

If the predicted motion vector is close to the optimal motion vector of the full search, it is possible to obtain a better gain after local small-scale motion search; on the contrary, if the predicted motion vector is far from the optimal motion vector, Then the result of the local small-scale motion search may only be a local optimum, and no good gain can be obtained.

In addition, if the error of the motion vector of the base layer itself is large, the error of using it to predict the motion vector of the enhancement layer is also large, resulting in the "drift" of the motion vector error between layers

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