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

文献类型： 会议论文

第一作者： Zhilong Zhang

作者： Zhilong Zhang 1 ; Danpu Liu 1 ; Huarui Wu 2 ;

作者机构： 1.Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing University of Posts and Telecommunications

2.Key Laboratory of Universal Wireless Communication, Ministry of Education, Beijing Academy of Agriculture and Forestry Sciences

关键词： FRUC;BiME;Matching Classification;Dominant Object

会议名称： International Conference on Network Infrastructure and Digital Content

主办单位：

页码： 981-985

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.

分类号： TP393-53

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