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Recommendation method and device of video data

A technology of video data and recommendation methods, applied in the field of data processing, can solve the problems of large operation resources, consumption, inability to process video, etc.

Inactive Publication Date: 2018-09-07
ALIBABA GRP HLDG LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the prior art, the detection and evaluation of video quality mainly relies on the manual review of operators. This method not only consumes a lot of operating resources, but also in most cases, manual review cannot perform real-time review on the synthesized video. deal with

Method used

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  • Recommendation method and device of video data
  • Recommendation method and device of video data
  • Recommendation method and device of video data

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Embodiment Construction

[0128] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0129] refer to figure 1 , which shows a flow chart of the steps of Embodiment 1 of a method for recommending video data in this application, which may specifically include the following steps:

[0130] Step 101, obtaining one or more video data to be detected;

[0131] In the embodiment of the present application, the video data to be detected may be ready-made video clips obtained from various sources, or video clips extracted from a video library according to certain rules and synthesized in real time in real time. The embodiment of the application does not limit the specific source and type of video data.

[0132] Step 102, respectively extracting the quality feature information of each video data ...

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Abstract

The embodiment of the application provides a recommendation method and device of video data. The recommendation method includes: acquiring one or more pieces of to-be-detected video data; respectivelyextracting quality feature information of each piece of to-be-detected video data; using a preset video data detection model to identify the quality feature information to obtain the target video data; and recommending the target video data to a user. According to the embodiment of the application, the high-quality video data can be quickly screened out through using the deep learning model, theproblem that in the prior art, recommendation of video fragments to users can only rely on manual identification is solved, and identification efficiency on the video data and accuracy of recommendation are improved.

Description

technical field [0001] The present application relates to the technical field of data processing, in particular to a method for recommending video data, a device for recommending video data, a method for generating a video data detection model, a device for generating a video data detection model, a video A data identification method and a video data identification device. Background technique [0002] The development of e-commerce has significantly improved the convenience of people's daily life. Through e-commerce websites, people can easily purchase goods and complete payment, saving time for shopping. [0003] In order to better help users understand the characteristics of target products, e-commerce websites have begun to use video content for shopping guide and marketing, that is, input corresponding text information according to operational needs, and then select appropriate video frames from the video library, and then use text information according to text semantics...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62G06N3/08H04N21/466
CPCG06N3/08H04N21/4668G06F18/21G06F18/23H04N21/466G06F16/00
Inventor 张亚楠王瑜
Owner ALIBABA GRP HLDG LTD
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