Temporal Information Detection for Video Quality Evaluation

Author

Fei, Yuan ; En, Cheng

Author_Institution

Key Lab. of Underwater Acoust. Commun. & Marine Inf. Technol., Xiamen Univ., Xiamen, China

fYear

2009

fDate

28-29 Dec. 2009

Firstpage

38

Lastpage

41

Abstract

Temporal parameters are absolutely necessary in models for video quality evaluation. By detecting the temporal information (TI), it is able to design the proper parameters which can be used in the application of video quality evaluation. Nowadays, the conventional method is to calculate the RMS (root mean square) energy of the temporal gradient. Its workload would enhance greatly when the number of the pixel in image had increased. The paper proposed a new algorithm by calculating the histogram of the temporal gradient. It would increase the efficiency three times more than the conventional one while have the similar performance. The algorithm was so simple and feasible that it could be used for the application of video quality assessment.

Keywords

multimedia communication; video signal processing; RMS energy; temporal feature; temporal information detection; video quality evaluation; Acoustic signal detection; Degradation; Histograms; Image reconstruction; Information systems; Testing; Underwater acoustics; Underwater tracking; Videoconference; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Networks and Information Systems, 2009. WNIS '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3901-0

Electronic_ISBN

978-1-4244-5400-6

Type

conf

DOI

10.1109/WNIS.2009.101

Filename

5381595