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Rapid video concentration abstracting method

A video concentration and abstraction technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of energy item design and simulated annealing optimization, which has a large amount of calculation, affects the length of concentrated video compression, and is unfavorable for real-time and fast processing of high-definition video etc. to achieve high video compression efficiency, low false detection rate, fast collision detection and rearrangement

Active Publication Date: 2014-07-02
ZHEJIANG ICARE VISION TECH
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AI Technical Summary

Problems solved by technology

The main disadvantages of this method are: the collision of the target is not detected to obtain a better visual effect; the long trajectory is not segmented, so if there is a long-term wandering target, it will affect the compression length of the condensed video
This method does not mention how to segment the trajectory, so if there is a long-lost target, it will affect the compressed length of the condensed video
However, the energy item design and simulated annealing optimization require a large amount of calculation, which is not conducive to the real-time and fast processing of high-definition video

Method used

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Embodiment Construction

[0039] The technical solutions of the present invention will be further specifically described below through examples.

[0040] like figure 1 The fast video enrichment summary method shown includes the server and the client, and the specific steps are as follows: the server first detects and segments the moving objects in the video, and uses the adaptive threshold hybrid Gaussian method to construct the background of the scene. The model is combined with inter-frame changes to extract the foreground, and the multi-scale information is used to refine the area outline when extracting the foreground area. Combined with texture features and inter-frame consistency changes, the interference of illumination changes is effectively suppressed, and low-contrast targets can be effectively detected; the density estimation method is used to locate random areas such as leaf shaking and water wave flow; finally, random area sampling is used. The method updates the background model and enha...

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Abstract

The invention relates to a rapid video concentration abstracting method. The conventional video concentration technology is poor in detection rate and tracking rate to a moving target, and cannot effectively concentrate the video length. The rapid video concentration abstracting method is characterized in that a server side detects and tracks the moving target in a pretreatment video, judges according to the length of the video or the number of the detection targets in the video, cuts the video into multiple concentration segments, performs collision detection and rearrangement on the target tracks in each concentration segment, and then, records the concentration segment information and enters in an index file; and a client side analyzes the index file stored in the server side, obtains the treated concentration segments, renders the concentration segments frame by frame to form a video sequence, and dynamically regulates the target density in the played concentrated video. According to the method, the target tracking continuity is excellent, profile region is complete, the detection rate is high, the false detecting rate is low, and the target density at each time point of the concentrated video is substantially consistent.

Description

technical field [0001] The invention belongs to the field of video retrieval and video summarization, in particular to a fast video concentration and summarization method. Background technique [0002] [1] Method and system for video indexing and video summarization - 200780050610.0 [0003] [2] Method and system for generating video summaries - 200680048754.8 [0004] [3] Intelligent video summarization method based on spatio-temporal fusion - 201110170308.7 [0005] [4] Video Summary System - 201020660533.X [0006] [5] Video automatic concentration method based on video surveillance network - 201110208090.X [0007] [6] PRITCH Y, RAV-ACHA A, PELEG S. Nonchronological video synopsis and indexing [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(11): 1971-1984 [0008] [7] Y. Pritch, S. Ratovitch, A. Hendel, and S. Peleg, Clustered Synopsis of Surveillance Video, 6th IEEE Int. Conf. on Advanced Video and Signal Based Surveillance (AVSS'09), G...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 尚凌辉刘嘉陈石平张兆生高勇
Owner ZHEJIANG ICARE VISION TECH
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