TV station logo training method and identification method

Abstract

The invention provides a TV station logo training method and an identification method. The TV station logo training method comprises the following steps of: (1) determining the external rectangle of a station logo in a training video according to a frame difference method; (2) carrying out edge detection on the external rectangle of the station logo to obtain edge points of the station logo; and (3) calculating distance transformation matrix Df of the station logo according to the edge points of the station log. According to characteristics obtained by the TV station logo training method, theposition of the station logo in the video is determined only by the single-frame video information of the video to be detected not by continuous multiframe video information in the identification process; moreover, under the conditions that the shape and the size of the station logo have subtle changes, the station logo still can be successfully identified.

Description

technical field [0001] The invention relates to the field of image pattern recognition, in particular to a TV station logo training method and recognition method. Background technique [0002] The station logo is the symbol of TV stations and TV columns, and it is one of the important semantic information in content-based multimedia search. At the same time, station logo detection is also one of the research hotspots in academia and industry in recent years. It is mainly used for some network real-time monitoring system. [0003] In the prior art, the television station logo recognition method performs station logo recognition according to the station logo mask in the station logo library, which specifically includes the following two steps: [0004] 1. Station logo detection: Obtain the station logo position and station logo mask of the video to be detected through the method of multi-frame frame difference. For example, extract the station logo edge as a mask, such as im...

AI Technical Summary

Problems solved by technology

But in actual application, the method of this step has many disadvantages: First, in some real-time network monitoring systems, continuous multi-frame video information cannot be obtained, and often only single-frame video image information can be obtained. At this time, the frame difference method cannot be applied

The disadvantage of this method to identify the station logo is that the position and size of the station logo are very accurate. Once the position is shifted, or the size or shape of the station logo has a small change, it will not match.

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