A ROI detection model for soccer video on small display

  • Authors:

  • Chaoke Pei;Li Gao;Shuyuan Yang;Chaohuan Hou

  • Affiliations:

  • Dept. of Digital System Integration Technique, IOA, CAS and Graduate University of Chinese Academy of Sciences, Beijing, China;Dept. of Digital System Integration Technique, IOA, CAS;Dept. of Digital System Integration Technique, IOA, CAS;Dept. of Digital System Integration Technique, IOA, CAS

  • Venue:
  • IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

With the proliferation of small-display mobile devices, the video sequences which are captured for normal size screen, may give small-display viewers uncomfortable experience, especially for some kinds of sports videos. We focus on soccer video, and propose to establish a saliency binary map and several character rules to detect the ball and decide the region-of-interest accordingly. Experimental results demonstrate that both the ball detection and the region-of-interest determination are effective.