Codec adaptation method, device, computer-readable medium and device

Abstract

The present application provides a codec adaptation method, device, computer-readable medium and equipment, the method comprising: obtaining the first feedback information uploaded by multiple clients whose user accounts are in the first preset range; then, According to the first feedback information, it is judged whether a plurality of clients whose user accounts are in the first preset interval use the target codec to perform encoding and decoding is abnormal; if it is judged that no abnormality occurs, obtain the user account in the second preset interval The second feedback information uploaded by multiple clients; finally, according to the second feedback information, it is judged whether the codec of the multiple clients whose user accounts are in the second preset range is abnormal when using the target codec; If an exception occurs, it is confirmed that the target models corresponding to the multiple clients whose user accounts are in the second preset range are adapted to the target codec, so that it can be identified which terminal models are suitable for which codec, according to the terminal model to select a codec.

Description

technical field [0001] The present application relates to the field of video codecs, and in particular to a codec adaptation method, device, computer-readable medium and equipment. Background technique [0002] At present, both live video and on-demand video scenes rely on the core role: the codec. For example, H.265, also known as HEVC (High Efficieny Video Coding), is a new generation of video compression standards, mainly for applications in high-definition digital TV and video codec systems. H.265 encoding has a higher compression rate, which can further save bandwidth by about 50% compared with H.264, saving storage and transmission costs; however, H.265 uses a higher proportion of CPU processes than H.264. If a terminal that is not compatible with H.265 uses H.265 for encoding and decoding, the encoding and decoding speed will be affected instead, thereby affecting user experience. [0003] Therefore, there is an urgent need for a method for identifying applicable co...

AI Technical Summary

Problems solved by technology

H.265 encoding has a higher compression rate, which can further save bandwidth by about 50% compared with H.264, saving storage and transmission costs; however, H.265 uses a higher proportion of CPU processes than H.264

If a terminal that is not compatible with H.265 uses H.265 for encoding and decoding, it will affect the encoding and decoding speed, thus affecting the user experience

Images