Y
Youshi Xu
Researcher at Mid Sweden University
Publications - 7
Citations - 145
Youshi Xu is an academic researcher from Mid Sweden University. The author has contributed to research in topics: Network packet & Packet loss. The author has an hindex of 5, co-authored 7 publications receiving 144 citations. Previous affiliations of Youshi Xu include Pinnacle Financial Partners.
Papers
More filters
Journal ArticleDOI
Unequal packet loss protection for layered video transmission
Tingting Zhang,Youshi Xu +1 more
TL;DR: The numerical analysis shows that the unequal packet loss protection can significantly improve the communication quality, in the sense of packet loss rate on reconstructing pictures, without any additional complexity in the network infrastructure.
Journal ArticleDOI
Variable shortened-and-punctured Reed-Solomon codes for packet loss protection
Youshi Xu,Tingting Zhang +1 more
TL;DR: The proposed algorithm and the encoder/decoder can universally be utilized for different applications with various requirements, such as transmission data rate, packet length, packet loss protection capacity, as well as layered protection and adaptive redundancy protection in DVB/DAB, Internet and mobile Internet communications.
Patent
Method and device for noise reduction
TL;DR: In this paper, the authors propose a method for reducing noise in a video signal which includes a plurality of video frames being composed of a pluralityof pixels, the method comprising the steps of: comparing video information contained in a current video frame and the plurality of temporally adjacent video frames; selecting from the current video frames and the adjacent videos frames the video information that according to a predetermined condition is likely to be correct for the current frame; and finally assigning the selected video information to the current data frame to produce a video frame wherein noise has been reduced.
Journal ArticleDOI
Numerical modeling of transmission errors and video quality of MPEG-2
TL;DR: MPEG-2 packet loss effect on video quality is quantitatively investigated, a temporal layered signal model is described and evaluated, and a quality measure for reconstructed pictures called macroblock impairment ratio is suggested and defined.