Title :
Data compression based on prediction
Author :
Guo, Fenghua ; Li, Shiyun
Author_Institution :
Sch. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Abstract :
In this paper, a new data compression method is presented. A prediction method based on quadratic curve reconstruction is used to improve the data reduction rate. The limitations of human perception with respect to a user´s hand position and force feedback are considered in the method to insure that distortions introduced by the compression scheme remain imperceptible to the user. Experiments are included to prove the effectiveness of the proposed approach in data reduction rate.
Keywords :
data compression; data reduction; force feedback; prediction theory; signal reconstruction; data compression method; data reduction rate improvement; force feedback; human perception limitation; prediction method; quadratic curve reconstruction; user hand position; Data compression; Force; Haptic interfaces; Humans; Media; Prediction algorithms; Vectors; data compression; data reduction rate; prediction;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2012 2nd International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4577-1414-6
DOI :
10.1109/CECNet.2012.6201515
