TY - GEN
T1 - Improving the temporal segmentation in digital videos using the Deceived Bilateral Filter
AU - Chacon-Quesada, Rodrigo
AU - Calderon-Ramirez, Saul
AU - Siles, F.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/7/2
Y1 - 2016/7/2
N2 - This paper presents a novel approach to improve the accuracy of long dissolve detection in the first of the three perception modules of our Automated Sport Analysis System named ACE. Such first module consists in the temporal segmentation of television video broadcasts, decomposing the input digital video into several scenes, based on the scene boundaries found. We propose to include a pre-processing stage for the video signal based in the application of the Deceived Bilateral Filter in order to enhance the dissimilarity obtained between frames during a long dissolve by blurring the frames closest to the long dissolve effect, and increasing image contrast and edges in the rest of the video, in order to achieve better classification results. Results conducted on matches of the last FIFA World Cup 2014 are presented. The classification rates showed precision increase of 14%, a recall improvement of 20% and an overall increase of 28% in the F1-score over the temporal segmentation of the original video.
AB - This paper presents a novel approach to improve the accuracy of long dissolve detection in the first of the three perception modules of our Automated Sport Analysis System named ACE. Such first module consists in the temporal segmentation of television video broadcasts, decomposing the input digital video into several scenes, based on the scene boundaries found. We propose to include a pre-processing stage for the video signal based in the application of the Deceived Bilateral Filter in order to enhance the dissimilarity obtained between frames during a long dissolve by blurring the frames closest to the long dissolve effect, and increasing image contrast and edges in the rest of the video, in order to achieve better classification results. Results conducted on matches of the last FIFA World Cup 2014 are presented. The classification rates showed precision increase of 14%, a recall improvement of 20% and an overall increase of 28% in the F1-score over the temporal segmentation of the original video.
KW - Data Processing
KW - Deceived Bilateral Filter
KW - Football Analysis
KW - Pattern Recognition
KW - Soccer
KW - Temporal Segmentation
UR - http://www.scopus.com/inward/record.url?scp=85021401841&partnerID=8YFLogxK
U2 - 10.1109/CONCAPAN.2016.7942343
DO - 10.1109/CONCAPAN.2016.7942343
M3 - Contribución a la conferencia
AN - SCOPUS:85021401841
T3 - 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
BT - 2016 IEEE 36th Central American and Panama Convention, CONCAPAN 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE Central American and Panama Convention, CONCAPAN 2016
Y2 - 9 November 2016 through 11 November 2016
ER -