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Video fingerprint detecting and video sequence matching method and system based on visual features

A video fingerprint and visual feature technology, applied in the field of video analysis, can solve problems such as high computational complexity, achieve low algorithm complexity, reduce complexity, and improve operational efficiency

Active Publication Date: 2014-02-19
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

This kind of method based on motion trajectory analysis can track key objects, so it is more robust than the method based on global brightness, but its computational complexity is very high, and it needs to detect and track key objects, so it has high efficiency. certain limitations

Method used

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  • Video fingerprint detecting and video sequence matching method and system based on visual features
  • Video fingerprint detecting and video sequence matching method and system based on visual features
  • Video fingerprint detecting and video sequence matching method and system based on visual features

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Embodiment

[0086] In this embodiment, 1000 video sequences are selected. Each video sequence ranges from a few seconds to 1 minute and includes single or multiple video shots, respectively. For the convenience of description, each video sequence is represented by a video key frame in the following introduction. In addition, a video to be analyzed is selected, and 20 processed video sequences are obtained by means of resolution change, partial occlusion, subtitle change, station logo change, etc. This embodiment aims to detect 20 related video sequences from 1000+20 video sequences.

[0087] The video fingerprint detection and video sequence matching method based on visual features of the present embodiment comprises the following steps:

[0088] 1) Decode the original video sequence, obtain the information of each video frame, extract key frames based on time sequence for each video, and assign a certain weight to each key frame;

[0089] 2) Extract visual features for each key frame,...

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Abstract

The invention provides a video fingerprint detecting method based on visual features. The method comprises the specific steps of segmenting a video sequence according to frame-to-frame correlation, extracting key frames from segments, extracting video features from all key frames, utilizing a pixel point feature dictionary to classify pixel points, respectively blocking all key frames multiple times in different numbers, counting the occurrence times of all elements of the pixel point feature dictionary according to pixel point classifying results in all sub blocks to obtain feature vectors of the sub blocks, splicing the feature vectors of all sub blocks to obtain high-dimensional video fingerprint of the key frames, reducing dimensions of the high-dimensional video fingerprint of the key frame, and connecting the low-dimensional video fingerprints of the key frames of all video segments into a key frame video fingerprint strand according to a time sequence. The invention further provides a video matching method based on the fingerprint detecting method. The video fingerprint detecting method and the video matching method can effectively describe key information of video contents, greatly reduce algorithm complexity under the situation without affecting the matching ratio and effectively improve the detecting efficiency.

Description

technical field [0001] The invention belongs to the field of video analysis, in particular to a video fingerprint detection and video sequence matching method based on visual features. Background technique [0002] With the rapid development of computer technology and network, the number of online videos is increasing rapidly. At the same time, with the development of video processing technology, video editing has become easier. For video content, content deletion, resolution change, content occlusion, content replacement, and noise increase all increase the detection of related video content. difficulty. How to effectively establish video fingerprints so as to be able to detect relevant video content under the premise of certain video editing has become an increasingly urgent demand. [0003] At present, the main video sequence matching methods can be divided into two categories. The first method is a global brightness analysis method. This method analyzes the brightnes...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/783G06V20/48G06V20/40
Inventor 刘琼杨铀喻莉吴伟民高跃于国星
Owner HUAZHONG UNIV OF SCI & TECH
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