A method for improving the precision of motion vector estimation based on gyroscope

2006 ◽  
Author(s):  
Yongxiang Zhang ◽  
Hui Sun ◽  
Jingwu Xiong
Keyword(s):  
Motion Vector ◽  
Vector Estimation

An Improved Error Concealment Based on Redundant Motion Vector Information

2012 ◽  
Vol 532-533 ◽  
pp. 1219-1224
Author(s):  
Hong Tao Deng
Keyword(s):  
Video Transmission ◽  
Error Concealment ◽  
Video Quality ◽  
Motion Vector ◽  
Compressed Video ◽  
Vector Information ◽  
Vector Estimation ◽  
Channel Errors ◽  
Bit Stream

During video transmission over error prone network, compressed video bit-stream is sensitive to channel errors that may degrade the decoded pictures severely. In order to solve this problem, error concealment technique is a useful post-processing tool for recovering the lost information. In these methods, how to estimate the lost motion vector correctly is important for the quality of decoded picture. In order to recover the lost motion vector, an Decoder Motion Vector Estimation (DMVE) criterion was proposed and have well effect for recover the lost blocks. In this paper, we propose an improved error concealment method based on DMVE, which exploits the accurate motion vector by using redundant motion vector information. The experimental results with an H.264 codec show that our method improves both subjective and objective decoder reconstructed video quality, especially for sequences of drastic motion.

A Flexible Real Time HDTV Motion Vector Estimation Chipset Based on Phasecorrelation

1994 ◽  
pp. 379-387
Author(s):  
K. Mueller ◽  
D. Siebert ◽  
F. Schirrmeister ◽  
C.v. Reventlow ◽  
J. Reimers
Keyword(s):  
Real Time ◽  
Motion Vector ◽  
Vector Estimation

Performance Evaluation of Different Cost Functions in Motion Vector Estimation

2014 ◽  
Vol 5 (1) ◽  
pp. 45-65 ◽  
Author(s):  
Suvojit Acharjee ◽  
Sayan Chakraborty ◽  
Wahiba Ben Abdessalem Karaa ◽  
Ahmad Taher Azar ◽  
Nilanjan Dey
Keyword(s):  
Video Compression ◽  
Motion Vector ◽  
Video Data ◽  
Cost Functions ◽  
Absolute Difference ◽  
Surveillance Video ◽  
Mean Absolute Difference ◽  
Vector Estimation ◽  
The Difference ◽  
Temporal Redundancy

Video is an important medium in terms of information sharing in this present era. The tremendous growth of video use can be seen in the traditional multimedia application as well as in many other applications like medical videos, surveillance video etc. Raw video data is usually large in size, which demands for video compression. In different video compressing schemes, motion vector is a very important step to remove the temporal redundancy. A frame is first divided into small blocks and then motion vector for each block is computed. The difference between two blocks is evaluated by different cost functions (i.e. mean absolute difference (MAD), mean square error (MSE) etc).In this paper the performance of different cost functions was evaluated and also the most suitable cost function for motion vector estimation was found.

Fast and Low Power Consumption Outliers Removal for Motion Vector Estimation

2015 ◽  
pp. 70-80 ◽  
Author(s):  
Giuseppe Spampinato ◽  
Arcangelo Bruna ◽  
Giovanni Maria Farinella ◽  
Sebastiano Battiato ◽  
Giovanni Puglisi
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Motion Vector ◽  
Low Power Consumption ◽  
Vector Estimation
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