DocumentCode
1797032
Title
Perceptully lossless video re-encoding for cloud transcoding
Author
Chieh-Kai Kao ; Tsung-Yau Huang ; Chen, He Henry ; Ja-Ling Wu
Author_Institution
Nat. Taiwan Univ., Taipei, Taiwan
fYear
2014
fDate
9-13 July 2014
Firstpage
301
Lastpage
305
Abstract
In this paper, we present a perceptually lossless video re-encoding approach to cloud transcoding based on a just noticeable distortion (JND) model. The bitrate is minimized by adaptive step size and dynamic rounding offset adjustment. On the average, the proposed approach achieves 9.7% overall bitrate reduction compared to the H.264/AVC JM reference encoder under the same coding condition. The performance of the resulting cloud transcoding is further verified by a subjective test.
Keywords
distortion; transcoding; video coding; H.264/AVC JM reference encoder; JND model; adaptive step size; bitrate reduction; cloud transcoding; coding condition; dynamic rounding offset adjustment; just noticeable distortion model; lossless video reencoding approach; Abstracts; Bit rate; Image edge detection; Quantization (signal); Transcoding; Transforms; JND model; human visual system; perceptual video coding; quantization; transcoding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4799-5401-8
Type
conf
DOI
10.1109/ChinaSIP.2014.6889252
Filename
6889252
Link To Document