Compressed domain based mobile phone football video quality evaluation device and method considering scene classification

Abstract

The invention discloses a compressed domain based mobile phone football video quality evaluation device and method considering scene classification. The evaluation device comprises a coding compressing module, a parameter acquiring module and a quality evaluating module that are connected in sequence. The evaluation method comprises a first step that the coding compressing module codes and compresses an input original video; a second step that the parameter acquiring module performs half decoding on a coded and compressed video so as to extract compressed domain parameters and processes the compressed domain parameters, wherein processed compressed domain parameters are used for video quality evaluation in following steps; and a third step that the quality evaluating module computes quality of the mobile phone football video according to an established video evaluation model. In the process of quality evaluation of the football video, the evaluation accuracy is improved due to consideration of three different football video scenes, the football video scenes are classified by use of the compressed domain parameters and the quality of the football videos of different scenes is evaluated, so that feasibility and real-time performance of the evaluation are improved effectively.

Description

Technical field: [0001] The invention belongs to the field of video technology, and in particular relates to a mobile phone football video quality evaluation device and method based on compressed domain considering scene classification. Background technique: [0002] With the development of mobile devices and video applications, more and more users choose to use mobile phones to watch videos, but the small viewing screen of mobile phones and the limitation of transmission bandwidth greatly affect the viewing experience of users. Especially for football videos, there are faster movements and smaller objects in the football videos, which greatly affect the viewing experience of users. [0003] Aiming at the above problems, many current researches focus on establishing accurate video quality assessment models to improve video quality. Traditional video quality assessment methods can be divided into full-reference, semi-reference and no-reference according to the amount of info...

AI Technical Summary

Problems solved by technology

Although the current research on video quality evaluation takes into account the impact of video content on users' perception of quality, for a specific type of video such as football, these studies do not consider the differences in users' attention to different scenes.

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