Station caption identification method based on combination of edge and texture features

A texture feature and station logo technology, applied in the field of target recognition, can solve problems such as inability to effectively identify and judge the similarity between candidate station logo areas and station logo templates, and achieve high station logo recognition accuracy and good robustness performance and improve the accuracy

Inactive Publication Date: 2016-07-13
PEKING UNIV
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Problems solved by technology

[0004] In the actual application environment, considering the complex background of TV videos and the existence of translucent station logo images, the above me...

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  • Station caption identification method based on combination of edge and texture features
  • Station caption identification method based on combination of edge and texture features
  • Station caption identification method based on combination of edge and texture features

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Embodiment Construction

[0025] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0026] The present invention is a method for identifying a logo based on the combination of edge and texture features, and its process is as follows figure 1 As shown, it specifically includes the following steps:

[0027] (1) Extract the edge information of the logo area of ​​the video frame.

[0028] First, it is necessary to extract key frame images from the video. In this embodiment, the video key frames are extracted in units of equal time intervals or shots. According to the 2005 State Administration of Radio, Film and Television, the TV channel logo should be based on the station logo (or channel-specific logo), combined with the station name (abbreviation) and channel name (abbreviation, serial number), and must be in the upper left corner of the screen when it is broadcast The “marking out” stipulates that the position of the TV station logo sh...

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Abstract

The invention relates to a station caption identification method based on the combination of edge and texture features. The station caption identification method comprises the steps of extracting edge information of an image to be detected; selecting a template of a station caption to be detected, and extracting edge information and texture features of the template of the station caption; carrying out template matching by using a sliding window method, calculating a candidate station caption region in an image of a video frame to be detected, and extracting texture features thereof; and calculating similarities between the template of the station caption and the candidate region image by using the extracted texture features, and sorting the similarities from large to small, and obtaining a final identification result through threshold determination. The invention verifies and confirms the candidate station caption region by using highly descriptive image features on the basis of the sliding window detection, has good robustness for TV station video in actual environments, and can achieve higher station caption identification accuracy.

Description

Technical field [0001] The invention belongs to the field of target recognition, and specifically relates to a logo recognition method based on the combination of edge and texture features. Background technique [0002] In recent years, with the vigorous development of the Internet and digital technology, TV station video has grown rapidly and spread widely, and has penetrated into all aspects of life and work. Because the logo of a TV station is very important in TV video dissemination, program monitoring and content analysis, and manual identification is inefficient and costly, the automatic identification of the station logo is of great significance. How to quickly automatically identify the corresponding TV station logo from the massive video files has become an important issue to be solved urgently. [0003] The logo recognition process is mainly divided into two parts: (1) Area detection: firstly detect the logo area from the image containing the logo; (2) Recognition and ju...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
CPCG06V20/40G06V10/44
Inventor 赵俊杰彭宇新
Owner PEKING UNIV
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