Detecting special frames in sports videos

Statistically, among the common video types, sports videos have more interesting moments than other types of videos. And it is often desired to automatically detect some special frames in sports videos, like close shot of athletes, illegality penalty, controversial goal, game result judgement, etc....

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Main Author: Yao, Wang.
Other Authors: Cai Jianfei
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/20873
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-208732023-03-04T00:33:46Z Detecting special frames in sports videos Yao, Wang. Cai Jianfei School of Computer Engineering Centre for Multimedia and Network Technology DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Statistically, among the common video types, sports videos have more interesting moments than other types of videos. And it is often desired to automatically detect some special frames in sports videos, like close shot of athletes, illegality penalty, controversial goal, game result judgement, etc. In this thesis, we focus on two scenarios of video frame detection in sports videos: transition frame detection and video frame detection for sprint judgement. For the first scenario, we study a particular type of video transition, i.e. dissolve. Dissolve is the basic artificial effect of gradual transitions in video sequences, which is widely used in TV programs and movies. Through dissolve detection, interesting and important video temporal segments can be easily located and indexed for various applications. In this research, we present a simple yet effective dissolve detection algorithm, which takes into account the dissolve properties in both temporal and spatial domains. Specifically, in the temporal domain, we use frame difference to capture the dissolve characteristics. In the spatial domain, the central area is given bigger weight than the four sides. Experimental results show the good performance and low computational complexity of our proposed algorithm. Master of Engineering 2010-02-18T06:58:42Z 2010-02-18T06:58:42Z 2010 2010 Thesis http://hdl.handle.net/10356/20873 en 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Yao, Wang.
Detecting special frames in sports videos
description Statistically, among the common video types, sports videos have more interesting moments than other types of videos. And it is often desired to automatically detect some special frames in sports videos, like close shot of athletes, illegality penalty, controversial goal, game result judgement, etc. In this thesis, we focus on two scenarios of video frame detection in sports videos: transition frame detection and video frame detection for sprint judgement. For the first scenario, we study a particular type of video transition, i.e. dissolve. Dissolve is the basic artificial effect of gradual transitions in video sequences, which is widely used in TV programs and movies. Through dissolve detection, interesting and important video temporal segments can be easily located and indexed for various applications. In this research, we present a simple yet effective dissolve detection algorithm, which takes into account the dissolve properties in both temporal and spatial domains. Specifically, in the temporal domain, we use frame difference to capture the dissolve characteristics. In the spatial domain, the central area is given bigger weight than the four sides. Experimental results show the good performance and low computational complexity of our proposed algorithm.
author2 Cai Jianfei
author_facet Cai Jianfei
Yao, Wang.
format Theses and Dissertations
author Yao, Wang.
author_sort Yao, Wang.
title Detecting special frames in sports videos
title_short Detecting special frames in sports videos
title_full Detecting special frames in sports videos
title_fullStr Detecting special frames in sports videos
title_full_unstemmed Detecting special frames in sports videos
title_sort detecting special frames in sports videos
publishDate 2010
url http://hdl.handle.net/10356/20873
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