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Cloud picture distribution type video classification method

A technology of distributed video and classification methods, applied in the field of cloud image distributed video classification, can solve problems such as accurate, difficult to classify, difficult to achieve classification, etc.

Inactive Publication Date: 2018-11-13
王妃
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AI Technical Summary

Problems solved by technology

[0003] The existing video classification technology is roughly based on coded classification, or based on video responses, titles, text classification, etc. It is difficult to classify as accurately as humans after watching videos, and it is also difficult to truly classify by content. This technical method is effective To solve the problem that the existing video content classification cannot be truly content-based, to achieve a classification method similar to human thinking, to truly classify videos by "watching" video content, and to achieve efficient, fast, and truly video-based Content-Based Video Classification Method

Method used

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  • Cloud picture distribution type video classification method

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Embodiment Construction

[0026] The Yuntu distributed video classification method can be implemented through the application of the video classification system. This system processes the video simultaneously according to the two parts of the video image and video audio (it can also be processed asynchronously by increasing the processing time to reduce the hardware requirements of the server. Standard or only Processing video images or video and audio to save computing space, obtaining differential results only affects the accuracy and budgetary cost of classification results).

[0027] For the processing of the video image part of the video, the fuzzy recognition algorithm in the image pattern and recognition can be used for video image recognition. Recognize based on each frame of pictures to obtain fuzzy recognized subject nouns, such as image 3 Among the identified people, mountains, trees, etc., the fuzzy range is identified by their object color, outline and other features. The "keywords" iden...

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Abstract

In a cloud picture distribution type video classification method, cloud picture distribution type video classification is performed by use of multiple interdisciplinary algorithms, the defect that classification which is truly completely based on a video content cannot be performed for video classification at the present stage is compensated and the shortcoming of insufficient efficient rapid operation in various video classification algorithms is overcome. A key word cluster storage based on image mode recognition and speech recognition is established by use of cloud picture distribution fordimension-reduction classification. While possessing efficient and rapid classification, the classification based on the video content is truly performed, and the method can be used for establishing amore comprehensive video retrieval work bank based on the practical video content.

Description

technical field [0001] The method involves technical fields such as image pattern and recognition, sound pattern and recognition, big data, and other computer-related disciplines and technologies. Background technique [0002] The continuous development of the Internet and multimedia technology has led to a rapid increase in the number of videos on the Internet. How to classify an extremely large number of videos, and classify these videos accurately, quickly and effectively according to the content. For video storage and management, improve the video-related industries. The market value and future big data mining provide a crucial technical foundation. [0003] The existing video classification technology is roughly based on coded classification, or based on video responses, titles, text classification, etc. It is difficult to classify as accurately as humans after watching videos, and it is also difficult to truly classify by content. This technical method is effective To...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 王妃
Owner 王妃
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