Meeting arbitrary QoS constraints using Dynamic Rate Shaping of coded digital video

Eleftheriadis, Alexandros; Anastassiou, Dimitris

doi:10.1007/bfb0019256

Cited by 63 publications

(32 citation statements)

References 6 publications

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“…These servers are under control of one or more cloud service providers (CSP).Cloud servers are responsible to process huge amount of storage and computing The CSP allocates resources via customized service level agreements [28]. For instance, in order to perform batch processing tasks by using abstraction programming techniques such as MapReduce and hadoop.CSP divides these large task into multiple small sub tasks which allow parallel execution of hundreds of cloud servers .Consider a cloud user such as mobile phone, laptop,aaple ipad, having low resource computation and storage in comparison to other cloud servers.…”

Section: Specification and Implementation 31 System Architecture Of mentioning

confidence: 99%

Enterprise Cloud Storage and Computation Security

Yadav¹,

Sharma²,

Sharma³

2015

IJCA

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Cloud computing acts as a computing paradigm that aims to provide huge amount of computing in a fully virtualized manner by aggregating resources and thus offering a single system view. Cloud Computing is also delivered as utility assuring customized and quality of service guaranteed computation environments for cloud users. While an enterprise organization is composed of different departments like finance, admin etc these departments are segregated as sub network zone which are thus interconnected via network. Securities are essential for authorization of storage and computing. In this paper we have proposed a privacy cheating discouragement and computation auditing approach that bridging secure storage and computation auditing in cloud. Privacy cheating discouragement is designated by verifier signature, batch verification and probabilistic sampling techniques.

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Section: Specification and Implementation 31 System Architecture Of mentioning

confidence: 99%

Enterprise Cloud Storage and Computation Security

Yadav¹,

Sharma²,

Sharma³

2015

IJCA

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“…The rate control module implements application layer QoS when the network does not support QoS guarantees for the video streaming [60]. In the case of the video streaming system considered, the enforcement of the rate controller's decision, however, needs to follow the principles of rate shaping [60,61] instead of rate adaptive encoding [60] due to the lack of direct interaction with the encoder. A system implementing both rate control and rate shaping is referred in this thesis to as an adaptive video streaming system.…”

Section: Video Streaming System Architecturementioning

confidence: 99%

“…Only the rate shaping function is video coding technology-dependent [61]. Nevertheless, in the context of this thesis, the focus is on considering the SVC extension of the H.264 Advanced Video Coding (AVC) standard [69] when implementing adaptive video streaming services.…”

Section: Video Streaming System Architecturementioning

confidence: 99%

Cross-layer optimized video streaming in heterogeneous wireless networks

Ojanperä¹

2013

SIGMultimedia Rec.

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This dissertation studies the impact of heterogeneous wireless networks on the design and implementation of mobile video streaming services. The aim is to enable Quality of Service (QoS) sensitive video streaming services to take full advantage of the access diversity of heterogeneous networks in order to optimize their operation in terms of quality and efficiency of network resource usage. This nevertheless requires support beyond the layered communication architecture of today's Internet.The thesis proposes an architecture for end-to-end cross-layer signaling and control for video streaming systems. The architecture supports extensive context information transfer in heterogeneous networks; thus, enabling the efficient management of video stream adaptation and user terminal mobility in a diverse and dynamic network environment. This thesis also studies and proposes cross-layer enhancements for adaptive video streaming and mobility management functions enabled by the cross-layer architecture. These include cross-layer video adaptation, congestion-triggered handovers, and concurrent utilization of multiple access networks in the video stream transport. For the video adaptation and multipath transmission, the flexible adaptation and transmission capabilities of the novel scalable video coding technology are used. Regarding the mobility management, the proposed solutions essentially enhance the handover decision-making of the Mobile IP protocol to better support QoS-sensitive video streaming. Finally, the thesis takes a holistic view on the application adaptation and mobility management, and proposes a solution for coordinated control of these two operations in order to achieve end-toend optimization.The resulting mobile video streaming system architecture and the cross-layer control algorithms are evaluated using network simulations and real prototypes. Based on the results, the proposed mechanisms can be seen to be viable solutions for improving video streaming performance in heterogeneous wireless networks. They require changes in the communication end-points and the access network but support gradual deployment. This allows service providers and operators to select only a subset of the proposed mechanisms for implementation. The results also support the need for cross-layer signaling and control in facilitating efficient management and utilization of heterogeneous wireless networks.

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“…The computational overhead can then be significantly reduced, as it only involves parsing of the data up to the point where transform coefficient data is available, and regeneration of data based on the new transform coefficient values. As an example, direct transform-domain manipulation has been employed in [5] and [6] in order to provide fast video compositing algorithms, whereas in [7] and [8], it has been used to perform rate changes.…”

Section: Introductionmentioning

confidence: 99%

2-D transform-domain resolution translation

Lee

Eleftheriadis

2000

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-The extensive use of discrete transforms in image and video coding suggests the investigation on filtering before downsampling (FBDS) and filtering after upsampling (FAUS) methods directly acting on the transform domain. In this paper, we describe the "transform-domain resolution translation" technique that gives flexibility to resize windows of each video conferencing session for server compositing without explicit decompression, spatial domain processing, and compression. We generalize transform-domain filtering (TDF) to include nonuniform and multirate cases to implement the transform-domain resolution translator. The former is defined as a TDF problem in which the original transform domain is of different size from the target one, while the latter considers the implementation of sampling rate conversion in the transform domain. The implementation architecture is based on a pipeline that involves matrix-vector product blocks and vector addition, but is not limited to particular hardware. Such techniques are particularly useful for fast algorithms for processing compressed images and video where transform coding is extensively used (e.g., in JPEG, H.261, MPEG-1, MPEG-2, and H.263). Index Terms-Multirate transform-domain filtering (MTFD), nonuniform transform-domain filtering (NTDF), transform-domain filtering (TDF), transform-domain resolution translation (TDRT).

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Meeting arbitrary QoS constraints using Dynamic Rate Shaping of coded digital video

Cited by 63 publications

References 6 publications

Enterprise Cloud Storage and Computation Security

Enterprise Cloud Storage and Computation Security

Cross-layer optimized video streaming in heterogeneous wireless networks

2-D transform-domain resolution translation

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