DocumentCode
2285052
Title
Adaptive temporal filter for high frame-rate video
Author
Bandoh, Yukihiro ; Takamura, Seishi ; Jozawa, Hirohisa
Author_Institution
NTT Cyber Space Labs., NTT Corp., Yokosuka, Japan
fYear
2010
fDate
19-23 July 2010
Firstpage
867
Lastpage
871
Abstract
Conventionally, generation methods for the input sequences of a video encoder have been independent from its following encoding process. In other words, such generation method has not been designed in terms of improving coding efficiency, although encoder optimization and pre-filter design have been studied in order to improve coding efficiency. However, it is prospective that we can improve coding efficiency furthermore by designing the generation method based on encoder design. In this study, we propose an algorithm for generating sequences using frames sampled in the temporal high density. Over the past decade, video acquisition rates, which had been 24 Hz (cinema), 30-60 Hz (webcam) or 50-60 Hz (SD/HDcam), has broken through to reach 1000 Hz. The proposed algorithm designs an adaptive temporal down-sampling filter in terms of the reduction of inter-frame prediction error, subject to prevent from the jerki-ness caused by temporal down-sampling. Experimental results show that our approach can reduce the inter-frame prediction error on average by 0.23 [dB] compared to constant mean filter without degrading its subjective image quality.
Keywords
adaptive filters; prediction theory; video coding; adaptive temporal down sampling filter; constant mean filter; encoder optimization; frequency 1000 Hz; frequency 24 Hz; frequency 30 Hz to 60 Hz; frequency 50 Hz to 60 Hz; high frame rate video; interframe prediction error; prefilter design; video acquisition rates; video encoder; Cameras; Cost function; Encoding; Equations; PSNR; Prediction algorithms; Video coding; high frame-rate video; video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia and Expo (ICME), 2010 IEEE International Conference on
Conference_Location
Suntec City
ISSN
1945-7871
Print_ISBN
978-1-4244-7491-2
Type
conf
DOI
10.1109/ICME.2010.5582990
Filename
5582990
Link To Document