Error correction method used after facial expression recognition content is labeled

A facial expression recognition and content technology, applied in the field of facial expression recognition, can solve problems such as user disgust and large expected deviation, and achieve the effect of improving video service quality and accurate subject classification

Inactive Publication Date: 2015-03-25
1VERGE INTERNET TECH BEIJING
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Problems solved by technology

As a result, the content deviates greatly from the audience's expectations, causing users to feel disgusted

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  • Error correction method used after facial expression recognition content is labeled

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Embodiment Construction

[0023] Certain terms are used, for example, in the description and claims to refer to particular components. Those skilled in the art should understand that hardware manufacturers may use different terms to refer to the same component. The specification and claims do not use the difference in name as a way to distinguish components, but use the difference in function of components as a criterion for distinguishing. As mentioned throughout the specification and claims, "comprising" is an open term, so it should be interpreted as "including but not limited to". "Approximately" means that within an acceptable error range, those skilled in the art can solve the technical problem within a certain error range and basically achieve the technical effect. In addition, the term "coupled" herein includes any direct and indirect electrical coupling means. Therefore, if it is described that a first device is coupled to a second device, it means that the first device may be directly elect...

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Abstract

The invention discloses an error correction method used after the facial expression recognition content is labeled. The method includes the steps that the corresponding facial expression information generated when users are watching videos is acquired through an acquisition device arranged at a client; different videos are classified and analyzed according to the corresponding facial expression information acquired in preset time frames, and the attribute information corresponding to different videos is obtained; when the attribute information corresponding to different videos is not consistent with the built subject attribute information corresponding to the same video through comparison, the content of the subject attribute information labeled on the videos is updated to the attribute information compared with the subject attribute information. By means of the error correction method, subject labels of the videos can be corrected according to the watching feedback of the users each time, and subsequent audiences can select the content more accurately.

Description

technical field [0001] The present application relates to the field of facial expression recognition, and in particular, relates to a method for error correction after labeling facial expression recognition content. Background technique [0002] In the prior art, when each person feels different emotions, most of the situations will be expressed through expressions, such as expressions of joy, anger, sorrow, passion, or plainness. Therefore, through the analysis of the changes in the user's facial expressions, we can understand the user's emotions and feelings in a specific scene, and then define the atmosphere created by the scene. [0003] Existing video content annotations are highly subjective. That is, the annotator of the video theme marks the understanding and feelings of the content, and this definition, for the audience, may have a large bias in judgment (for example, whether some historical movies have fighting scenes, whether they are considered action movies, et...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V40/174G06V40/172
Inventor 付鹏卢学裕白雪吴凯凯吴鑫姚键潘柏宇卢述奇
Owner 1VERGE INTERNET TECH BEIJING
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