Motion vector composition algorithm for spatial scalability in compressed video

2001 ◽  
Vol 47 (3) ◽  
pp. 319-325 ◽  
Author(s):  
Mei-Juan Chen ◽  
Ming-Chung Chu ◽  
Shen-Yi Lo
Keyword(s):  
Motion Vector ◽  
Compressed Video

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.

Parabolic Motion-Vector Re-estimation Algorithm for Compressed Video Downscaling

2010 ◽  
Vol 61 (3) ◽  
pp. 375-386 ◽  
Author(s):  
Chia-Hung Yeh ◽  
Ying H. Chen ◽  
Ming-Chieh Chi ◽  
Mei-Juan Chen
Keyword(s):  
Motion Vector ◽  
Estimation Algorithm ◽  
Compressed Video

Human and car identification using motion vector in H.264 compressed video

2011 ◽  
Author(s):  
Wei Chen ◽  
Quan-Xi Yang ◽  
Ke-Wei Lin ◽  
Sheng-Yu Wang ◽  
Chung-Lin Huang
Keyword(s):  
Motion Vector ◽  
Compressed Video

An Adaptive Intra-Frame Refresh Algorithm Based on Rate Distortion Optimization

2013 ◽  
Vol 346 ◽  
pp. 123-128
Author(s):  
Song Jian Bao
Keyword(s):  
Motion Vector ◽  
Main Idea ◽  
Selection Effect ◽  
Rate Distortion ◽  
Video Stream ◽  
Video Code ◽  
Compressed Video ◽  
Rate Distortion Optimization ◽  
Error Performance ◽  
Macro Block

The biggest drawback of compressed video code flow is very sensitive to the transmission error. Put forward the motion vector-adaptive intra refresh (MV-AIR) and the rate distortion optimization-adaptive intra refresh (RDO-AIR). The main idea of RDO-AIR is that using the rate-distortion function calculations expense determines whether a macro-block refreshed, it considers the rate distortion estimation for macro-block models selection effect, each frame is dynamically intra-frame refreshed. These two kinds of algorithm by considering the changes of the video itself content characteristics and channel error rate characteristics can be adaptively determine macro-blocks number and macro-block position. Simulation found that the two algorithms effectively enhanced the video stream resistance error performance, at the same time, and the both didnt significantly increase the output bit rate.

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