Method and device for determining frame type

Abstract

The embodiment of the invention discloses a frame type judgment method and device. The method is applied to an encoder, and comprises the following steps: determining any I-frame before a to-be-encoded image as a target I-frame; analyzing an encoding result of the first type video frame to acquire a first statistical model value; analyzing an encoding result of the second type video frame to acquire a second statistical model value; judging whether the to-be-encoded image satisfies the preset I-frame selection condition according to the first statistical model value and the second statisticalmodel value, if the to-be-encoded image satisfies the preset I-frame selection condition, judging the frame type of the to-be-encoded image as the I-frame. The video encoding is performed by applyingthe scheme provided by the embodiment of the invention, the encoding speed can be accelerated, the compression efficiency of the video is improved, the video encoding loss is reduced, and the encodingefficiency of the video is improved.

Description

technical field [0001] The present invention relates to the technical field of video coding, in particular to a frame type determination method and device. Background technique [0002] With the continuous development of digital video services in multimedia applications and the increasing demand for video cloud computing, the existing wired and wireless transmission network bandwidth and storage resources can no longer bear the large amount of data from the original video source. Therefore, data compression in the process of video signal transmission and storage has become one of the research and application hotspots at home and abroad; video data compression, also known as video coding, aims to eliminate various data redundancy of video signals. [0003] At present, domestic and foreign standardization organizations have successively formulated a variety of video coding standards in the past few decades. In order to reduce the transmission bandwidth and storage space occup...

AI Technical Summary

Problems solved by technology

Since the existing video coding methods are mostly lossy coding, and the coding loss of P frame and B frame is larger than that of I frame, in addition, the coding of P frame and B frame needs to be based on the video frame that was coded before it. Reference, so, with the encoding of each frame after the I frame, the encoding loss of each subsequent frame is getting larger and larger. In view of the above situation, when the interval between two consecutive I frames is large, the encoding efficiency is likely to be low

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