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Method for extracting video summary

A technology for video summarization and video, applied in image communication, selective content distribution, electrical components, etc., can solve problems such as high computational complexity and inaccurate clustering results, achieve high algorithm efficiency, eliminate lens redundancy, speed up The effect of convergence speed

Inactive Publication Date: 2017-06-13
NANTONG COSHIP ELECTRONICS
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: there are problems of blindness, inaccurate clustering results and high computational complexity when extracting key frames in the existing video summary generation process

Method used

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  • Method for extracting video summary

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Embodiment Construction

[0030] The present invention proposes a method for extracting video summaries, comprising the following steps:

[0031] S1. Segmenting the video based on the histogram method, specifically including:

[0032] S1.1. Calculate the H (hue), S (saturation), and V (brightness) component values ​​of each frame of image in the video, and synthesize the feature vector of each frame of image after performing non-equal interval quantization on the above three component values.

[0033] Calculate the HVS component for each pixel of the image:

[0034]

[0035]

[0036]

[0037] In order to reduce the amount of calculation and improve efficiency, this method quantifies the HSV at non-equal intervals according to the human visual perception and resolution ability according to Table 1 and Table 2, and divides H into 8 parts, and S and V into 3 parts respectively.

[0038] Table 1 Quantization table of H

[0039] Ranges [316,20) [20,40) [40,75) [75,155) [155,190) [...

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Abstract

The invention provides a method for extracting a video summary. The method comprises the following steps: calculating HSV histograms of all frame images in a video segment to be extracted; calculating the similarity of two adjacent frame images; detecting the shot transition through an adaptive local double threshold method, and cutting the video where the shot transition exists to finally form a shot set; organizing the similar shots into a clustered set by using a clustering method based on the adaptive threshold; and taking a shot cluster to perform key frame extraction; repeating the operation of S6 until all shot clusters are subjected to key frame extraction; and combining the obtained key frames according to the time sequence to form a final video summary. According to the method provided by the invention, the L value that is closer to human perception is taken as a feature, an optimal maximum value point is obtained through the Euclidean distance of adjacent frame differences, and thus the optimal key frame number and relatively reasonable initial clustering center can be determined to a great extent, and the convergence rate can be increased.

Description

technical field [0001] The invention relates to the technical field of video image processing, in particular to a method for extracting video summaries. Background technique [0002] A video summary is to a video what an article summary is to an article. The video summary is used to summarize and explain the entire video content. Through the video summary, the viewer can understand the general content of the entire video, so as to improve the access efficiency of the video. [0003] The most important step in extracting video summaries is to extract key frames. For multi-camera videos, it is necessary to use a clustering method to classify n frames of images contained in the same shot into different clusters on the basis of shot segmentation. Select a certain frame from a class as the representative frame of this class to form a set of key frames. Extracting key frames in the prior art usually uses the K-means algorithm, which first randomly selects K objects as the center...

Claims

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Application Information

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IPC IPC(8): H04N21/8549
CPCH04N21/8549
Inventor 张涛
Owner NANTONG COSHIP ELECTRONICS
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