Discovery of the Topical Object in Commercial Video: A Sparse Coding Method

摘要：

　　In this paper,we propose a topical object discovery method in commerical video.This method utilizes the objectness measure to generate the object candidates from the key-frames of the video.Then a sparse coding method is developed to discover the most topical object.Such a method can provide ranked results and therefore we can easily select the most topical object.The experimental validation on 10 videos shows that the sparse coding method performs better than existing topic mining methods.

关键词： Topical Object Discovery Objectness Sparse Coding.

作者: Yunhui Liu Huaping Liu Fuchun Sun

作者单位: Department of Computer Science and Technology,Tsinghua University,Beijing,China State Key Laboratory of Intelligent Technology and Systems,Beijing,China

会议类型: 国际会议

会议名称: Chinese Conference on Pattern Recognition, CCPR(2014年全国模式识别学术会议)

会议地点: 长沙

会议语种:英文

页码: 245-254

在线出版日期: 2014-11-01（万方平台首次上网日期，不代表论文的发表时间）