Frame rate up-conversion based on matching classification and dominant object tracking

Author

Zhang, Zhilong ; Liu, Danpu ; Wu, Huarui

Author_Institution

Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

6-8 Nov. 2009

Firstpage

981

Lastpage

985

Abstract

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.

Keywords

adaptive filters; image classification; image matching; image motion analysis; liquid crystal displays; median filters; television displays; video signal processing; LCD TV; adaptive median motion vector filter; bilateral block matching; dominant object tracking; frame rate upconversion; interpolation; matching classification; video quality; Adaptive filters; Agriculture; Cameras; Costs; Forestry; Interpolation; Laboratories; Motion estimation; TV; Wireless communication; Dominant Object; FRUC; Matching Classification; biME;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Infrastructure and Digital Content, 2009. IC-NIDC 2009. IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-4898-2

Electronic_ISBN

978-1-4244-4900-6

Type

conf

DOI

10.1109/ICNIDC.2009.5360884

Filename

5360884