2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)最新文献_第7页

Joint optimization of resource allocation and workload scheduling for cloud based multimedia services 基于云的多媒体业务资源分配和工作负载调度的联合优化

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813406

Xiaoming Nan, Yifeng He, L. Guan

{"title":"Joint optimization of resource allocation and workload scheduling for cloud based multimedia services","authors":"Xiaoming Nan, Yifeng He, L. Guan","doi":"10.1109/MMSP.2016.7813406","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813406","url":null,"abstract":"With the development of cloud technology, cloud computing has been increasingly used as distributed platforms for multimedia services. However there are two fundamental challenges for service providers: one is resource allocation, and the other is workload scheduling. Due to the rapidly varying workload and strict response time requirement, it is difficult to optimally allocate virtual machines (VMs) and assign workload. In this paper, we study the resource allocation and workload scheduling problem for cloud based multimedia services. Specifically, we introduce a queuing model to quantify the resource demands and service performance, and a directed acyclic graph (DAG) model to characterize the precedence constraints among jobs. Based on the proposed models, we jointly optimize the allocated VMs and the assigned workload to minimize the total resource cost under the response time constraints. Since the formulated problem is mixed integer non-linear programming, a heuristic is proposed to efficiently allocate resources for practical services. Experimental results show that the proposed scheme can effectively allocate VMs and schedule workload to achieve the minimal resource cost.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133852079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Single-input-multiple-ouput transcoding for video streaming 视频流的单输入多输出转码

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813357

Chengzhi Wang, Bo Li, Jie Wang, Hao Zhang, Hao Chen, Yiling Xu, Zhan Ma

引用次数: 5

Coding unit splitting early termination for fast HEVC intra coding based on global and directional gradients 基于全局梯度和方向梯度的快速HEVC内编码的编码单元拆分早期终止

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813356

Mohammadreza Jamali, S. Coulombe

引用次数: 9

Human gesture recognition via bag of angles for 3D virtual city planning in CAVE environment 基于角度袋的人类手势识别在CAVE环境下的三维虚拟城市规划

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813380

Nour El-Din El-Madany, Yifeng He, L. Guan

引用次数: 8

Low-power distributed sparse recovery testbed on wireless sensor networks 无线传感器网络低功耗分布式稀疏恢复试验台

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813404

R. R. D. Lucia, S. Fosson, E. Magli

{"title":"Low-power distributed sparse recovery testbed on wireless sensor networks","authors":"R. R. D. Lucia, S. Fosson, E. Magli","doi":"10.1109/MMSP.2016.7813404","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813404","url":null,"abstract":"Recently, distributed algorithms have been proposed for the recovery of sparse signals in networked systems, e.g. wireless sensor networks. Such algorithms allow large networks to operate autonomously without the need of a fusion center, and are very appealing for smart sensing problems employing low-power devices. They exploit local communications, where each node of the network updates its estimates of the sensed signal also based on the correlated information received from neighboring nodes. In the literature, theoretical results and numerical simulations have been presented to prove convergence of such methods to accurate estimates. Their implementation, however, raises some concerns in terms of power consumption due to iterative inter-node communications, data storage, computation capabilities, global synchronization, and faulty communications. On the other hand, despite these potential issues, practical implementations on real sensor networks have not been demonstrated yet. In this paper we fill this gap and describe a successful implementation of a class of randomized, distributed algorithms on a real low-power wireless sensor network test bed with very scarce computational capabilities. We consider a distributed compressed sensing problem and we show how to cope with the issues mentioned above. Our tests on synthetic and real signals show that distributed compressed sensing can successfully operate in a real-world environment.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114185599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Temporally consistent high frame-rate upsampling with motion sparsification 时间一致的高帧率上采样与运动稀疏化

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813394

Dominic Rüfenacht, D. Taubman

引用次数: 8

Adaptive enhancement filtering for motion compensation 运动补偿的自适应增强滤波

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813402

Xiaoyu Xiu, Yuwen He, Yan Ye

引用次数: 0

Slice-based parallelization in HEVC encoding: Realizing the potential through efficient load balancing HEVC编码中基于片的并行化:通过高效负载平衡实现潜力

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813354

M. Koziri, Panos K. Papadopoulos, Nikos Tziritas, Antonios N. Dadaliaris, Thanasis Loukopoulos, S. Khan

{"title":"Slice-based parallelization in HEVC encoding: Realizing the potential through efficient load balancing","authors":"M. Koziri, Panos K. Papadopoulos, Nikos Tziritas, Antonios N. Dadaliaris, Thanasis Loukopoulos, S. Khan","doi":"10.1109/MMSP.2016.7813354","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813354","url":null,"abstract":"The new video coding standard HEVC (High Efficiency Video Coding) offers the desired compression performance in the era of HDTV and UHDTV, as it achieves nearly 50% bit rate saving compared to H.264/AVC. To leverage the involved computational overhead, HEVC offers three parallelization potentials namely: wavefront parallelization, tile-based and slice-based. In this paper we study slice-based parallelization of HEVC using OpenMP on the encoding part. In particular we delve on the problem of proper slice sizing to reduce load imbalances among threads. Capitalizing on existing ideas for H.264/AVC we develop a fast dynamic approach to decide on load distribution and compare it against an alternative in the HEVC literature. Through experiments with commonly used video sequences, we highlight the merits and drawbacks of the tested heuristics. We then improve upon them for the case of Low-Delay by exploiting GOP structure. The resulting algorithm is shown to clearly outperform its counterparts achieving less than 10% load imbalance in many cases.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"50 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126899765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 19

Novel UEP product code scheme with protograph-based linear permutation and iterative decoding for scalable image transmission 基于原型线性排列和迭代解码的可扩展图像传输UEP产品编码方案

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813407

Huihui Wu, S. Dumitrescu

{"title":"Novel UEP product code scheme with protograph-based linear permutation and iterative decoding for scalable image transmission","authors":"Huihui Wu, S. Dumitrescu","doi":"10.1109/MMSP.2016.7813407","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813407","url":null,"abstract":"This paper introduces a linear permutation module before the inner encoder of the iteratively decoded product coding structure, for the transmission of scalable bit streams over error-prone channels1. This can improve the error correction ability of the inner code when some source bits are known from the preceding outer code decoding stages. The product code consists of a protograph low-density parity-check code (inner code) and Reed-Solomon (RS) codes of various strengths (outer code). Further, an algorithm relying on protograph-based extrinsic information transfer analysis is devised to design good base matrices from which the linear permutations are constructed. In addition, an analytical formula for the expected fidelity of the reconstructed sequence is derived and utilized in the optimization of the RS codes redundancy assignment. The experimental results reveal that the proposed approach consistently outperforms the scheme without the linear permutation module, reaching peak improvements of 1.98 dB and 1.30 dB over binary symmetric channels (BSC) and additive white Gaussian noise (AWGN) channels, respectively.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127630162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multi-image super-resolution using a locally adaptive denoising-based refinement 基于局部自适应去噪的多图像超分辨率细化

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813343

M. Bätz, Ján Koloda, Andrea Eichenseer, André Kaup

引用次数: 9