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Video advertisement detecting method based on explicit type sharing subspace

A detection method and video advertising technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as inability to dig deep into common characteristics, and achieve the effect of improving accuracy and detection efficiency

Inactive Publication Date: 2012-05-02
BEIJING JIAOTONG UNIV
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AI Technical Summary

Problems solved by technology

[0015] In view of the shortcomings mentioned in the above background technology that the existing methods cannot deeply explore the common characteristics of the semantics contained in different modes, the present invention proposes a video advertisement detection method based on an explicit shared subspace

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  • Video advertisement detecting method based on explicit type sharing subspace
  • Video advertisement detecting method based on explicit type sharing subspace
  • Video advertisement detecting method based on explicit type sharing subspace

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Embodiment Construction

[0057] 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.

[0058] The invention is attached figure 1 As shown, the basic process is:

[0059] Using the video database containing advertisements and non-advertising as the training set data, the training set data is segmented into semantic shot sequences through the semantic shot segmentation step;

[0060] Extract visual keyframes at equal intervals for each semantic shot in the training set data, and then extract N keyframes within the semantic shot 1 Dimensional visual features X, which include color, edge, and grayscale histogram;

[0061] Divide each semantic shot in the training set into audio segments at equal intervals, and then extract N 2 Dimensional audio feature Y, which includes timbre texture features, sound qua...

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Abstract

The invention discloses a video advertisement detecting method based on an explicit type sharing subspace, belonging to the technical field of multimedia index. The method comprises the steps of: firstly, cutting the lens to a semantic lens sequence; extracting a key frame therein and obtaining the visual feature and an audio feature, further obtaining the explicit type sharing subspace and the feature value of a mapping matrix formed by both; then obtaining the visual feature mapping matrix and the audio feature mapping matrix via selecting the corresponding vector of the feature value of the pointed mapping matrix in the explicit type sharing subspace; realizing the operation of reducing dimensions and fusing features; inputting the matrix obtained by fusing features to a support vector machine to train; after obtaining the optimal classification model, performing the primary judgment on the lens to be detected by using it; and then confirming whether the lens to be detected is the advertisement lens finally via the step of the post treatment. The invention is not required to build the advertisement database; the vector playing the main role is used for detecting the lens; at last, the lens is judged via the step of post treatment, and therefore improving the effectiveness and the accuracy of detecting.

Description

technical field [0001] The invention belongs to the technical field of multimedia retrieval, and in particular relates to a video advertisement detection method based on an explicit shared subspace. Background technique [0002] With the advancement of science and information technology, especially the continuous development of computer technology, network technology and large-capacity storage technology, people have used various means to collect and produce a large number of various types of multimedia information data. However, with the accumulation of images and videos over the years and the decline of multimedia information processing capabilities, people urgently need to quickly and accurately find the content they are interested in in the vast sea of ​​multimedia data. [0003] Initially, the retrieval of multimedia information adopts text retrieval technology, that is, manually generates text descriptions of multimedia information, such as document descriptions, annot...

Claims

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Application Information

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IPC IPC(8): G06F17/30
Inventor 朱振峰赵耀杨厚德刘楠
Owner BEIJING JIAOTONG UNIV
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