Paper Info
Title
A Reliable Logo and Replay Detector for Sports Video
Abstract
Replay is one of the key cues indicating highlights in sports videos. A replay is usually sandwiched by two identical logos which prompt the start and end of a replay. A logo transition usually contains 10-30 frames, describes a flying or varying object(s). In this paper, a reliable logo and replay detecting approach is proposed. It contains two main stages: first, a logo transition template is unsupervised learned, a key frame (K-frame) and a set of pixels that describes logo object (logo pixels, L-pixels) accurately are also extracted; second, the learned information are used jointly to detect logos and replays in the video. In addition to traditional color analysis, optical flow feature is employed to depict the movement of the logo object(s). Extensive experiments show that the proposed approach can reliably detect logos and replays regardless of the types of sports videos.
Year
DOI
Venue
2007
10.1109/ICME.2007.4284995
ICME
Keywords
Field
DocType
video signal processing,optical flow feature,sports video,reliable logo,sport,replay detector,unsupervised learning,image colour analysis,image motion analysis,detectors,games,color,automation,fluctuations,data mining,optical flow
Computer vision,Computer graphics (images),Computer science,Logos Bible Software,Logo,Unsupervised learning,Pixel,Color analysis,Artificial intelligence,Key frame,Optical flow,Detector
Conference
ISBN
Citations 
PageRank 
1-4244-1017-7
7
0.49
References 
Authors
5
6
Name
Order
Citations
PageRank
Qiao Huang170.83
Jianming Hu216221.14
Wei Hu318214.17
Tao Wang423823.70
Hongliang Bai515218.48
Yimin Zhang635928.66