Event detection and semantic annotation method for snooker game videos

A semantic tagging and video event technology, applied in video data retrieval, metadata video data retrieval, instruments, etc., can solve problems such as ignoring semantic events, insufficient video retrieval, and failure to distinguish the importance of various events, etc., to achieve high The effect of detection performance

Active Publication Date: 2015-12-23
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

Although there have been a small amount of research results on snooker video analysis, these achievements still have a certain distance to build an event detection and labeling system based on semantic content, which is reflected in the following aspects: 1. The analysis work of Nock game video all focuses on the automatic generation of video summaries and the three-dimensional reconstruction of the game process, and there is no related research on event detection and labeling, and the existing research results are far from enough to realize content-based video Retrieval; 2. Existing research on video summaries of snooke

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  • Event detection and semantic annotation method for snooker game videos

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Embodiment Construction

[0027] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0028] figure 1 It is a schematic diagram of the overall flow of a snooker game video event detection and semantic labeling method according to the present invention, which mainly includes four stages: the score bar information extraction stage, including full table lens detection, score bar positioning, and current batting player indicator positioning , field segmentation and text recognition; in the stage of audio classification, use Hidden Markov Model for audio classification; in the stage of replay shot detection, use the replay shot detection algorithm to detect replay shots; Event detection...

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Abstract

The invention discloses an event detection and semantic annotation method for snooker game videos. The method includes the steps of detecting a full-tabletop lens; extracting score strip information; conducting audio classification through a hidden Markov model; detecting a playback lens; achieving event detection and semantic annotation for the snooker game videos through integration of multi-mode information and combination of snooker domain knowledge. According to the method, the multi-mode information in the videos is integrated, event detection and semantic annotation of the content of the snooker game videos are achieved, and a solid foundation is laid for establishing video indexes based on semantics.

Description

technical field [0001] The invention belongs to the field of content-based video retrieval, and in particular relates to a snooker game video event detection and semantic labeling method. Background technique [0002] Semantic content-based video analysis has always been a hot topic in the field of multimedia research. Sports video, as an important video resource, has a huge audience base and commercial value, and has received extensive attention from relevant scientific research institutions and researchers. With the rapid increase in the number of sports videos and the rapid popularization of mobile computing devices in the triple play environment in recent years, people are no longer satisfied with the current status of sports video viewing and retrieval, but have more opportunities to quickly locate the video content they are interested in. The key to solving this problem is to automatically detect and label semantic events in videos. [0003] Billiards is one of the t...

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/78
Inventor 于俊清黄易欣何云峰
Owner HUAZHONG UNIV OF SCI & TECH
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