Cognitive dynamic video summarization using cognitive analysis enriched feature set

a feature set and cognitive analysis technology, applied in the field of multimedia productions, can solve the problems of not being able to actually view all of the videos, user may be overwhelmed by the sheer number of videos, and difficult for users to even begin sifting through,

Inactive Publication Date: 2019-01-24
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The user may, however, be overwhelmed by the sheer number of videos presented.
It is difficult for the user to even begin sifting through the results, and time constraints of course make it impossible for the user to actually view all of the videos that may be potentially relevant.

Method used

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  • Cognitive dynamic video summarization using cognitive analysis enriched feature set
  • Cognitive dynamic video summarization using cognitive analysis enriched feature set
  • Cognitive dynamic video summarization using cognitive analysis enriched feature set

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Embodiment Construction

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[0016]There are still many problems with the various approaches to video summarizations. While the most accurate method is manual summarization, a human cannot adequately summarize a video without watching nearly the entire video. This requirement makes manual summarization unfeasible even for the number of videos produced in just one day, because that number is incredibly large. People wanting a preview of a video need to be shown the most salient portions in order to allow them to determine whether the entire video is worth watching. However, the naive previewing techniques of the prior art will cause the user to miss out on key points in the production. It would, therefore, be desirable to devise an improved method of video summarization which could more accurately capture the essence of different parts of a video. It would be further advantageous if the method could achieve such improved performance regardless of domain.

[0017]These and other advantages of the invention are achi...

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Abstract

Accurate and concise summarization of a media production is achieved using cognitive analysis which groups segments of the production into clusters based on extracted features, selects a representative segment for each cluster, and combines the representative segments to form a summary. The production is separated into a video stream, a speech stream and an audio stream, from which the cognitive analysis extracts visual features, textual features, and aural features. The clustering groups segments together whose visual and textual features most closely match. Selection of the representative segments derives a score for each segment based on factors including a distance to a centroid of the cluster, an emotion level, an audio uniqueness, and a video uniqueness. Each of these factors can be weighted, and the weights can be adjusted in accordance with user input. The factors can have initial weights which are based on statistical attributes of historical media productions.

Description

BACKGROUND OF THE INVENTIONField of the Invention[0001]The present invention generally relates to multimedia productions, i.e., “videos”, and more particularly to an automated method of summarizing a long video.Description of the Related Art[0002]Advancements in a wide variety of technologies have led to an explosion in the production and distribution of multimedia productions. These advancements include improvements in recording technologies such as cellphone cameras which enable nearly anyone to become a producer / director, as well as enhanced distribution channels such as the Internet. One common example is the YouTube phenomenon by which ordinary users have the opportunity to view literally millions of video programs.[0003]When someone wants to view a multimedia production on a particular topic they may find there are hundreds or even thousands of available videos on the topic. Referring again to the YouTube example, that service offers a search function by which users can enter ...

Claims

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Application Information

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Patent Type & Authority Applications(United States)
IPC IPC(8): G11B27/031G11B27/10G06K9/00G10L25/57G06F40/20
CPCG11B27/031G10L25/57G06K9/00751G11B27/10G10L25/48G06F40/20G06V20/47G06V10/763G06F18/232
Inventor AKOLKAR, RAHUL P.BLOCK, ALEXANDER M.CHANCHLANI, MANALI J.FARINELLI, KRISTI A.
Owner IBM CORP
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