FRAME RATE UP-CONVERSION BASED ON MATCHING CLASSIFICATION AND DOMINANT OBJECT TRACKING

摘要：

Frame rate up-conversion (FRUC) is effective to enhance video quality at LCD TV. In this paper, a new method based on matching classification and dominant objects tracking is proposed. Blocks to be interpolated are classified into 4 types: matched, unmatched, uncertain and unrelated according to the results of bilateral block matching. Dominant object tracking helps to refine the results. Then an adaptive median motion vector (MV) filter based on the classification results is employed to smooth the MV field. Empirical results show that the proposed method provides high quality MV field and improves the performance of FRUC.

关键词： FRUC biME Matching Classification Dominant Object

作者: Zhilong Zhang Danpu Liu Huarui Wu

作者单位: Key Laboratory of Universal Wireless Communication, Ministry of Education Beijing University of Post Key Laboratory of Universal Wireless Communication, Ministry of Education Beijing Academy of Agricul

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

会议地点: 北京

会议语种:英文

页码: 981-985

在线出版日期: 2009-11-06（万方平台首次上网日期，不代表论文的发表时间）