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Adaptive KF (keyframe) extraction method based on sub-lens segmentation

An extraction method and sub-lens technology, applied in the field of image processing, can solve the problems of poor robustness, low segmentation accuracy, fixed number of key frame extraction, etc., and achieve the effects of improving segmentation accuracy, simple operation, and overcoming low accuracy.

Inactive Publication Date: 2013-04-10
TAIYUAN UNIV OF TECH
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Problems solved by technology

[0007] Aiming at the shortcomings of the existing sub-shot segmentation process, such as low segmentation accuracy, poor robustness, and fixed number of key frame extractions mentioned in the above background technology, the present invention proposes an adaptive key frame extraction method based on sub-shot segmentation

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  • Adaptive KF (keyframe) extraction method based on sub-lens segmentation

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Embodiment Construction

[0065]The preferred embodiments will be described in detail below in conjunction with the accompanying drawings. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.

[0066] The invention constructs a discriminant function by utilizing the distance separability criterion of samples, and divides a shot into several sub-shots by finding the maximum value of the discriminant function. Subsequently, the number of key frames of each sub-shot is adaptively determined according to the speed of change of the content of each sub-shot.

[0067] The steps of the present invention are as follows:

[0068] Step 1: read all the frames of the image in the lens, and extract the color feature vector of each frame;

[0069] Step 2: Combine the sliding window with the distance separability criterion to segment the shot into sub-shots;

[0070] Step 3: Calculate the number of key frames of each sub-s...

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Abstract

The invention discloses an adaptive KF (keyframe) extraction method based on sub-lens segmentation in the technical field of image processing. The method provided by the invention comprises the following steps: reading all frames of an image in a lens, and extracting the color feature vectors of each frame; combining a sliding window with a distance separability rule to segment the lens into sub-lenses; determining the number of KFs of each sub-lens according to the rate of change of interframe distances; and finally, selecting the set number of KFs according to the order from big to small ofthe interframe distances. The method provided by the invention has the advantages that a threshold is not required to be set, the number of the KFs can be confirmed adaptively, the segmentation precision of each sub-lens is improved, and the robustness is good.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an adaptive key frame extraction method based on sub-shot segmentation. Background technique [0002] With the rapid development of multimedia technology and computer network technology, the number of videos has increased rapidly, and video retrieval systems have received more and more attention. Key frame extraction is the early basis of video retrieval, and its extraction effect will directly affect the performance of video retrieval system. Video key frame extraction is to study how to use the least images to most effectively represent the main content of the video lens, which requires the selected key frames to reflect the timing and accuracy of the video with the minimum redundancy. [0003] The key frame extraction algorithm based on sub-shot segmentation, as one of the classic key frame extraction methods, is to divide a shot into several sub-shots in the time do...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06F17/30
Inventor 谢刚雷少帅赵文晶韩晓霞续欣莹王芳
Owner TAIYUAN UNIV OF TECH
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