Metrics to estimate image quality in compressed video sequences

2007 ◽  
Author(s):  
Gary O'Brien ◽  
Steven A. Israel ◽  
John M. Irvine ◽  
Charles Fenimore ◽  
John Roberts ◽  
...  
Keyword(s):  
Image Quality ◽  
Video Sequences ◽  
Compressed Video

Measuring the Hurst parameter of compressed video sequences

2008 ◽  
Author(s):  
Mike E. Nilsson ◽  
Stephen Appleby ◽  
I. Barry Crabtree
Keyword(s):  
Video Sequences ◽  
Hurst Parameter ◽  
Compressed Video

Videoconferencing

Interpreting ◽  
1996 ◽  
Vol 1 (1) ◽  
pp. 21-38 ◽  
Author(s):  
Panayotis Mouzourakis
Keyword(s):  
Cost Effectiveness ◽  
Image Quality ◽  
Psychological Problems ◽  
Compressed Video ◽  
Technical Aspects ◽  
Video And Audio ◽  
Audio Streams

The technical aspects of videoconferencing are described, with emphasis on the H 320 standards for the transmission of compressed video and audio streams. The implications of multilingual videoconferencing for sound and image quality in conference interpreting and the related cognitive, medical and psychological problems are then discussed. The suitability of this technique for various kinds of meetings and its cost effectiveness are also touched upon.

Video Matching by One-Dimensional PSNR Profile

2013 ◽  
Vol 479-480 ◽  
pp. 174-178
Author(s):  
Shi Wei Lo
Keyword(s):  
Image Quality ◽  
Video Sequence ◽  
Experimental Results ◽  
Video Sequences ◽  
Motion Feature ◽  
One Dimensional ◽  
Matching Process ◽  
Video Matching

This paper addresses a compact framework to matching video sequences through a PSNR-based profile. This simplify video profile is suitable to matching process when apply in disordered undersea videos. As opposed to using color and motion feature across the video sequence, we use the image quality of successive frames to be a feature of videos. We employ the PSNR quality feature to be a video profile rather than the complex contend-based analysis. The experimental results show that the proposed approach permits accurate of matching video. The performance is satisfactory on determine correct video from undersea dataset.

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