Network video topic detection method and system thereof

A topic detection, network video technology, used in special data processing applications, instruments, electrical digital data processing, etc.

Active Publication Date: 2010-11-17
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But this structure only shows one dimension of topic development, ignoring its change in the dimension of hotness

Method used

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  • Network video topic detection method and system thereof
  • Network video topic detection method and system thereof
  • Network video topic detection method and system thereof

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Embodiment Construction

[0066] The method of the present invention will be further described below in conjunction with the accompanying drawings.

[0067] The method for network video topic detection of the present invention is as figure 1 shown.

[0068] In step S100, the tag words of the video are expressed as a track of change in word frequency on the time axis, and salient words in each time unit are extracted according to the track of change in word frequency.

[0069] For a tag word, by counting the number of videos containing the tag word in each time unit, the word frequency change track of the tag word on the entire time axis is obtained.

[0070] The specific definition of the salient word is that if in the time unit T, the term frequency change trajectory of the tag word w reaches the peak value or meets the predefined threshold, then the tag word w is a salient word of the time unit T.

[0071] In a preferred embodiment, a historical time window is set, and videos uploaded in time units...

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Abstract

The invention relates to a network video topic detection method and a system, and the method comprises the following steps: step 1, representing label words of videos as a word frequency change trajectory on a time axis, and extracting significant words in each time unit according to the word frequency change trajectory; step 2, representing the significant words in each time unit as an inverted index of all the videos uploaded in the time unit, clustering the significant words, and leading one class to represent one event of the time unit; step 3, calculating the similarity among all the events, establishing the connection among the events, forming an event development trajectory chart, taking points in the event development trajectory chart as the events, and connecting the points according to the similarity between each two events for generating a side; step 4, dividing the event development trajectory chart into a plurality of communicating sub-charts; and step 5, finding optimal paths in all the communicating sub-charts according to the preset standard, leading each optimal path to correspond to one topic trajectory and further completing the topic detection. The method and the system can detect video topics from a network.

Description

technical field [0001] The invention relates to a topic detection method, in particular to a network video topic detection method and system thereof. Background technique [0002] With the growth of network bandwidth and the application of Web 2.0 technology, the number of online videos and the scale of users have increased on a large scale, and online videos have become an important medium for people to transmit information. However, because the current video retrieval technology can not meet the actual needs, more than 50% of network users get interested videos through recommendation. Therefore, how to effectively organize large-scale network video data for query is a problem that needs to be solved. [0003] Aggregating content-related videos together, organizing them in the form of topics, and recommending hot topics to users is an effective video management method. At present, mainstream video websites have set up a column of "special topics" or "hot topics", and orga...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 曹娟张勇东李锦涛
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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