Motion activity based wireless video quality perceptual metric

2002 ◽  
Author(s):  
Dong Tian ◽  
Lansun Shen ◽  
Zhiheng Yao
Keyword(s):  
Video Quality ◽  
Wireless Video ◽  
Motion Activity

scholarly journals Media motion-based resource distribution for mobile video networking

2021 ◽  
Vol 39 (4) ◽  
pp. 1183-1189
Author(s):  
U.S. Ukommi
Keyword(s):  
Resource Constraints ◽  
Resource Distribution ◽  
Video Quality ◽  
Video Communication ◽  
Wireless Video ◽  
Quality Performance ◽  
Motion Activity ◽  
The Media ◽  
Channel Errors ◽  
The Impact

Wireless video communication is challenging due to vulnerability of media bitstreams to channel distortions. Investigation has been carried out on wireless video channel under tight networking resource budget. One of the challenges is the impact of channel errors on the quality of media streams with high motion activity. Motion activity in this context defines the magnitude of activity displacement in video sequence. Based on the analysis, Media Motion-based Resource Distribution (MRD) is proposed to maximize the average received video quality over wireless system, by regulating the resource distribution of the media streams based on their motion activity characteristics. Experimental results demonstrate that the proposed scheme can improve the average received video quality performance under tight resource constraints budget. Keywords: Wireless video communication, resource constraints, received video performance, media motion

Wireless Video Quality Assessment: A Study of Subjective Scores and Objective Algorithms

2010 ◽  
Vol 20 (4) ◽  
pp. 587-599 ◽  
Author(s):  
Anush Krishna Moorthy ◽  
Kalpana Seshadrinathan ◽  
Rajiv Soundararajan ◽  
Alan Conrad Bovik
Keyword(s):  
Quality Assessment ◽  
Video Quality ◽  
Video Quality Assessment ◽  
Wireless Video

Cross-Layer Optimization for Energy-efficient QoS Support of Multimedia Streams

2010 ◽  
pp. 113-134
Author(s):  
Carolina Blanch Perez del Notario ◽  
Sofie Pollin ◽  
Tong Gan ◽  
Claude Desset ◽  
Antoine Dejonghe ◽  
...  
Keyword(s):  
Video Quality ◽  
Rate Distortion ◽  
Low Complexity ◽  
Video Codec ◽  
Video Encoding ◽  
Cross Layer ◽  
Portable Devices ◽  
Wireless Video ◽  
Cross Layer Optimization ◽  
Multimedia Streams

A major limitation for wireless video communication on portable devices is the limited energy budget. For this reason, efficient usage of the scarce energy becomes a critical design constraint, in addition to meeting the Quality of Service constraints related to the video quality. In this chapter the authors focus on minimizing the energy cost of the two main energy consumers in the handheld wireless video device: the video encoding and wireless communication tasks. For this purpose, they present a cross-layer approach that explores the tradeoff between coding and communication energies. They then exploit the Rate-Distortion-Complexity tradeoffs and flexibility of the Scalable Video Codec. The results show that by adapting the codec configuration at runtime to the specific scenarios up to 50% of the total energy can be saved with marginal video quality loss. Moreover, the approach presented is of low complexity and easily deployable in practical systems.

Theories and methods for wireless video quality measurement

2010 ◽  
Vol 24 (2) ◽  
pp. 153-161
Author(s):  
Fei Yuan ◽  
Shanhong Wang ◽  
En Cheng
Keyword(s):  
Video Quality ◽  
Quality Measurement ◽  
Wireless Video

A Novel Rate Control Algorithm for H.264/AVC Considering Frame Activity

2014 ◽  
Vol 543-547 ◽  
pp. 3096-3099
Author(s):  
Bo Tian ◽  
Yi Min Yang ◽  
Shu Ting Cai
Keyword(s):  
Video Coding ◽  
Rate Control ◽  
Control Algorithm ◽  
Video Quality ◽  
Bit Allocation ◽  
Video Sequences ◽  
Scene Change ◽  
Local Motion ◽  
Motion Activity ◽  
Rate Control Algorithm

Rate control has significant impact on the video coding. However, the conventional rate control algorithm in the latest video coding standard H.264 without take into account the human visual system and result in video quality fluctuation. To address this problem, we propose a novel rate control algorithm for H.264/AVC considering frame activity. First, a method is proposed to detect the scene change in frames of video sequences. Second, bit allocation to frame is related to the frame activity which is calculated on the local motion activity and scene change in frames. And in the MB level, the number of bits allocated to each MB is determined by its local motion activity. Experimental results show that the proposed rate control algorithm can increase average PSNR by 0.9137 comparisons with the JVT-G012, and reduces the bit-rate error by up to 0.06%.

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