Advertisement sequence image fast retrieval and analysis method

A technology of image sequence and analysis method, which is applied in the field of image matching and retrieval, can solve problems such as low computational complexity and decreased accuracy rate, and achieve the effects of good robustness, improved accuracy, improved speed and correct rate

CN106066887AActive Publication Date: 2016-11-02BEIJING INSTITUTE OF TECHNOLOGYGY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2016-11-02

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Abstract

The invention discloses an advertisement sequence image fast retrieval and analysis method comprising the following steps: using image complexity characteristics and a decision classification tree method to divide an advertisement image database into LOGO and scene images; extracting and storing HOG characteristics and SIFT characteristics of images in the advertisement database; extracting HOG characteristics and SIFT characteristics of a to-be-coupled image, calculating HOG characteristic vector Euclidean distances between the to-be-coupled image and all images of same type in the advertisement database, ranking the Euclidean distances from small to big, and screening the front S candidate images; calculating SIFT characteristic coupling point pairs between the to-be-coupled image and the S candidate images, and using the image with the most pairs as the image corresponding to the to-be-coupled image; calculating time length of each advertisement according to the to-be-coupled image of the advertisement sequence, thus obtaining advertisement playing information. The advertisement sequence image fast retrieval and analysis method can ensure coupling accuracy, can save calculating time, and can improve image retrieval efficiency.
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Description

Technical field

[0001] The invention belongs to the technical field of image matching and retrieval, and specifically relates to a method for fast retrieval and analysis of advertisement sequence images. Background technique

[0002] At present, with the rapid development of social economy, advertising has become a very important means of commercial publicity and marketing. Companies and enterprises put a large number of advertisements on public media platforms such as TV and movies to obtain huge economic benefits. With the increase in the amount of advertisements played and the variety of advertisement categories, in order to monitor the playing of advertisements and obtain relevant data information, how to accurately and quickly retrieve advertisement fragments has become an urgent problem to be solved. At present, advertisement retrieval is mostly carried out manually, which is time-consuming and labor-intensive, especially for massive databases, the labor and time costs are ...

Examples

Embodiment Construction

[0041] The present invention will be described in detail below with reference to the drawings and embodiments. The implementation of the method of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain the present invention, and do not limit the present invention.

[0042] figure 1 It is a flowchart of a method for searching and analyzing advertisement sequence images in a specific embodiment of the present invention, which specifically includes the following steps:

[0043] Step 1: The classification of the image in the advertisement database mainly includes extracting the edge information of the image, determining the central area (rectangle) of the image content, calculating the edge ratio between the central area and the non-central area, and dividing the image into LOGO using the method of decision classification tree And scene image.

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