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Scene-based video recognition method for optimizing and pushing

A video recognition and scene technology, applied in character and pattern recognition, instruments, computer components, etc., can solve the problems of video content recognition occupying a lot of resources and slow recognition speed, and achieve fast recognition speed, less resource occupation, and computing power Optimized effect

Active Publication Date: 2018-12-21
CLOUDVOS GUANGZHOU TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0017] The object of the present invention provides a scene-based video recognition method optimization and push method, which solves the problems of video content recognition occupying a lot of resources and slow recognition speed in the prior art

Method used

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  • Scene-based video recognition method for optimizing and pushing

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046]This embodiment provides a scene-based video recognition method optimization and push method. The video to be processed is a picture taken by a camera installed in a tourist attraction, and a plurality of different video scene types are pre-divided. Type presets frequent end sets and tags. The preset scenes are as follows: 1. In densely populated scenes, select 500 densely populated scenes as the preset frequent lens collection, and name the scene 0001; 2. Sparsely populated scenes, select 500 sparsely populated scenes as the preset Frequent shot collection, and name the scene 0010; 3. Environmental blur scene, select 500 scenes with low visibility due to rain, cloudy or foggy conditions as the preset frequent shot collection, and name the scene 0011; 4. For scenes with occluders, select 500 scenes where pedestrians are covered by umbrellas because of rain or sun umbrellas because of the need to block the sun as the preset frequent lens collection, and name the scene 010...

Embodiment 2

[0053] This embodiment provides a scene-based video recognition method optimization and push method. This embodiment is basically the same as Embodiment 1, the difference is that if the video to be processed is a picture taken by a camera installed at an intersection on the street, When the video captured in a certain period of time is mainly a vehicle, it is assigned to a deep vehicle recognition device for processing.

Embodiment 3

[0055] This embodiment provides a scene-based video recognition method optimization and push method, including the following steps:

[0056] S1: Classify the scene of the video according to the content of the video;

[0057] S2: The classified video is transmitted to a processing device that matches this type of video for processing to obtain

[0058] process result.

[0059] In the step S1, the classification of the video content includes one of scenes mainly of vehicles, scenes mainly of people and sparsely populated, scenes mainly of people and densely populated, and scenes whose faces are blocked by umbrellas when it rains. one or more species.

[0060] Said step S1 comprises:

[0061] a1: Divide multiple different video scene types according to the video content in advance, and preset frequent shot sets and tags for each video type;

[0062] a2: Compare the correlation between the video to be analyzed and the frequent shot set, and the scene type of the frequent shot ...

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Abstract

The invention relates to the technical field of video recognition and processing, in particular to a scene-based video recognition mode optimization and push method. The method comprises the followingsteps: S1, classifying the video scene according to the video content; S2: The classified video being transmitted to the processing equipment matched with the type of video for processing to obtain the processing result. The invention achieves the optimization and pushing of intelligent identification and computational force scheduling through semi-supervised learning of the video monitoring scene. Through automatic identification of video content, different video content is labeled, and different video content is automatically distributed to different processing devices for processing. The recognition speed is fast, the resource occupies little, at the same time, it plays the role of peak clipping, valley filling and computational force optimization.

Description

technical field [0001] The invention relates to the technical field of video recognition and processing, in particular to a scene-based video recognition mode optimization and push method. Background technique [0002] The traditional video surveillance system has a low degree of intelligence and generally does not have the ability of machine learning. It is composed of five major parts: camera, transmission, control, display, and record registration. The camera transmits the video image to the control host through the coaxial video cable, and the control host then distributes the video signal to each monitor and video recording device, and simultaneously records the voice signal to be transmitted into the video recorder. By controlling the host, the operator can issue instructions to control the up, down, left, and right movements of the pan / tilt, and perform zoom and zoom operations on the lens. switch between. Using the special video processing mode, you can record, pla...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/172G06V20/40G06V20/53
Inventor 邸磊
Owner CLOUDVOS GUANGZHOU TECH CO LTD
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