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Video similarity determining method and video recommendation method based on feature classification

A feature classification and video recommendation technology, applied in the field of data processing, can solve the problems of long time and slow speed, and achieve the effect of reducing time and data processing volume and meeting viewing needs.

Active Publication Date: 2014-12-10
HISENSE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] One of the purposes of the present invention is to provide a method for determining video similarity based on feature classification, so as to solve the time-consuming and slow problems of traversing the video multiple times in the prior art when determining video similarity based on video content

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  • Video similarity determining method and video recommendation method based on feature classification
  • Video similarity determining method and video recommendation method based on feature classification
  • Video similarity determining method and video recommendation method based on feature classification

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Embodiment Construction

[0033] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0034] Briefly explain the technical thinking of the present invention:

[0035] The present invention extracts a typical video tag as the main feature from the video tags with strong correlation with the video content, and the remaining video tags are used as the secondary features, and classifies the videos according to the main features and the secondary features to form a feature video set; For the related videos of a certain video (i.e. the reference video), it is only necessary to find the feature video sub-set with the same main features as the reference video from the feature video set, match the sub-features of the reference video in the feature video sub-set, and determine the Related videos, and then calculate the content similarity betw...

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Abstract

The invention discloses a video similarity determining method and video recommendation method based on feature classification. The video similarity determining method comprises the steps that a main feature and all subsidiary features of a reference video are obtained; a feature video subset having the main feature is found in a feature video set according to the obtained main feature of the reference video, videos having the same subsidiary features as the reference video are found in the feature video subset and used as related videos, and the content similarities between the related videos and the reference video are calculated and determined as the feature classification similarities. In this way, the problems that the calculated quantity is large and the consumed time is long due to the fact that all video records are traversed when the video similarities are determined in the prior art are solved. The problems that video recommendation is simplex in result and diversification requirements can not be met in the prior art can be solved by fusing the obtained feature classification similarities with operation similarities and figure similarities to determine the total similarities for video recommendation.

Description

technical field [0001] The invention belongs to the technical field of data processing, in particular relates to the determination of video similarity and video recommendation, and more specifically relates to the method of determining video similarity and video recommendation based on feature classification. Background technique [0002] At present, video platforms basically have intelligent video recommendation systems. When a user checks the introduction of a certain video or watches a certain video through the video platform, the intelligent video recommendation system of the platform will automatically recommend and present videos related to the video that the user viewed or watched, which can avoid manual search by the user. Helping users find videos they are interested in not only facilitates users, but also increases the user's stay time on video sites. Moreover, most of the existing intelligent video recommendation systems search for related videos, determine the ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/7343G06F16/783G06F16/7867
Inventor 王洁高雪松胡伟凤谢杰许丽星于旭周翚张帅
Owner HISENSE
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