Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Event Detection and Summarization in Sports Video
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
A fast algorithm for video parsing using MPEG compressed sequences
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
The classification of style in fine-art painting
The classification of style in fine-art painting
Online play segmentation for broadcasted american football TV programs
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Football video segmentation based on video production strategy
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Adaptive extraction of highlights from a sport video based on excitement modeling
IEEE Transactions on Multimedia
Trajectory-Based Ball Detection and Tracking in Broadcast Soccer Video
IEEE Transactions on Multimedia
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This paper proposes a new play segmentation algorithm using a local adaptive model for each sports game, in which the play start shots (PSS) that represent the start of each play segment are detected by comparing all of keyframes with the PSS model. The PSS model is calculated on the fly using generic clustering algorithm and a repetitive characteristic of the PSS. The end of each play segment (the play end shot (PES)) is determined by detecting close up shots using the field color extracted from the play start shots since the camera will focus on the players or the audience with close up view. Experimental results with 28 baseball videos show that good performance can be obtained with the proposed algorithm compared to other algorithms.