A low-complexity rate allocation algorithm for joint source-channel video coding

2009 ◽  
Vol 24 (5) ◽  
pp. 368-383 ◽  
Author(s):  
Simone Milani ◽  
Giancarlo Calvagno
Keyword(s):  
Video Coding ◽  
Low Complexity ◽  
Rate Allocation ◽  
Allocation Algorithm

Low-Complexity Resource Allocation Algorithm for Multicell OFDMA System

2013 ◽  
Vol E96.B (5) ◽  
pp. 1218-1221 ◽  
Author(s):  
Qingli ZHAO ◽  
Fangjiong CHEN ◽  
Sujuan XIONG ◽  
Gang WEI
Keyword(s):  
Resource Allocation ◽  
Low Complexity ◽  
Ofdma System ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm

scholarly journals Low Complexity Trellis-Coded Quantization in Versatile Video Coding

2021 ◽  
Vol 30 ◽  
pp. 2378-2393
Author(s):  
Meng Wang ◽  
Shiqi Wang ◽  
Junru Li ◽  
Li Zhang ◽  
Yue Wang ◽  
...  
Keyword(s):  
Video Coding ◽  
Low Complexity ◽  
Trellis Coded

scholarly journals Low-complexity 8-point DCT approximation based on angle similarity for image and video coding

2018 ◽  
Vol 30 (3) ◽  
pp. 1363-1394 ◽  
Author(s):  
Raíza S. Oliveira ◽  
Renato J. Cintra ◽  
Fábio M. Bayer ◽  
Thiago L. T. da Silveira ◽  
Arjuna Madanayake ◽  
...  
Keyword(s):  
Video Coding ◽  
Low Complexity ◽  
Dct Approximation

scholarly journals Multi-Band Spectrum Allocation Algorithm Based on First-Price Sealed Auction

2017 ◽  
Vol 17 (1) ◽  
pp. 104-112 ◽  
Author(s):  
Zijuan Shi ◽  
Gaofeng Luo
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Economic Efficiency ◽  
Low Complexity ◽  
Spectrum Allocation ◽  
Band Spectrum ◽  
Auction Mechanism ◽  
Allocation Algorithm ◽  
Cognitive Wireless Networks ◽  
Allocation Process

Abstract Auction is often applied in cognitive wireless networks due to its fairness properties and efficiency. To solve the allocation issues of cognitive wireless network inamulti-band spectrum, multi-item auction mechanism and models were discussed in depth. Multi-item highest price sealed auction was designed for cognitive wireless networks’multi-band spectrum allocation algorithm. This algorithm divided the spectrum allocation process into several stages which was along with low complexity. Experiments show that the algorithm improves the utilization of spectrum frequency, because it takes into account the spectrum owner’s economic efficiency and the users’equity.

Rate Allocation Algorithm with Successive Refinement in Peer-to-Peer Networks

2014 ◽  
Vol 496-500 ◽  
pp. 2200-2203
Author(s):  
Yang Su ◽  
Mi Lu
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Rate Allocation ◽  
Allocation Algorithm ◽  
Multiple Description ◽  
Successive Refinement ◽  
Peer To Peer Networks ◽  
Peer Dynamics ◽  
Description Coding ◽  
Packet Drop

We introduce a new across-peer rate allocation algorithm with successive refinement to improve the video transmission performance in P2P networks, based on the combination of multiple description coding and network coding. Successive refinement is implemented through layered multiple description codes. The algorithm is developed to maximize the expected video quality at the receivers by partitioning video bitstream into different descriptions depending on different bandwidth conditions of each peer. Adaptive rate partition adjustment is applied to ensure the real reflection of the packet drop rate in the network. Also the granularity is changed to the scale of atomic blocks instead of stream rates in prior works. Through simulation results we show that the algorithm outperforms prior algorithms in terms of video playback quality at the peer ends, and helps the system more adjustable to the peer dynamics.

Sign in / Sign up

Export Citation Format

Share Document