NDLI: New weighted prediction architecture for coding scenes with various fading effects image and video processing

Content Provider	IEEE Xplore Digital Library
Author	Sik-Ho Tsang Yui-Lam Chan Wan-Chi Siu
Copyright Year	2010
Description	Author affiliation: Centre for Signal Processing, Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong (Sik-Ho Tsang; Yui-Lam Chan; Wan-Chi Siu)
Abstract	Weighted prediction (WP) is one of the new tools in H.264 for encoding scenes with brightness variations. However, a single WP model does not handle all types of brightness variations. Also, large luminance difference induced by object motions would mislead an encoder in its use of WP which results in low coding efficiency. To solve these problems, a picture-based multi-pass encoding strategy, which extensively encodes the same picture multiple times with different WP models and selects the model with the minimum rate-distortion cost, has been adopted in H.264 to obtain better coding performance. However, computational complexity is impractically high. In this paper, a new WP referencing architecture is proposed to facilitate the use of multiple WP models by making a new arrangement of multiple frame buffers in multiple reference frame motion estimation. Experimental results show that the proposed scheme can improve prediction in scenes with different types of brightness variations and considerable luminance difference induced by motions within the same sequence.
Starting Page	118
Ending Page	123
File Size	248554
Page Count	6
File Format	PDF
ISBN	9789898425195
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-26
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	INSTICC
Subject Keyword	Fading Brightness Variations Weighted Prediction Computational modeling Motion estimation Brightness Bit rate H.264 Multiple Reference Frames Encoding Pixel
Content Type	Text
Resource Type	Article

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