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SMART Education Framework for Adaptation Content Presentation

Procedia Computer Science 2018年 127卷 436-443页

作者： Salma El Janati Abdelilah Maach Driss El Ghanami Computer Science Department LRIE Laboratory Mohammadia School of Enginneers (EMI) Mohammed V University in Rabat Morocco

The rapid growth of the Educational System (ES) has changed traditional learning behavior and presented a new situation to learners. To address the ever increasing needs and challenges associated with ES, a strategic methods and techniques of Adaptive Learning System (ALS) is adapted, which the primary objective is the adaptation of content, presentation, and navigation. In this paper, we suggest a new framework to adapt the Content Presentation to the preferences of learners and physical disability with learners who suffer from the visual and hearing limitations to stimulate the content. This framework is intended to be integrated in Dynamic Adaptive Hypermedia System (DAHS)in a manner that increases the learner’s perceived quality, high level of adaptivity and reliability.

关键词： E-learning ES ALS Physical disability Media Adaptation DAHS Learner Model transcoding

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vCache: Supporting Cost-Efficient Adaptive Bitrate Streaming

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IEEE MULTIMEDIA 2017年第3期24卷 19-27页

作者： Gao, Guanyu Wen, Yonggang Cai, Jianfei Nanyang Technol Univ Interdisciplinary Grad Sch Singapore Singapore Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore Nanyang Technol Univ Visual & Interact Comp Div Sch Comp Engn Singapore Singapore Nanyang Technol Univ Comp Commun Div Sch Comp Engn Singapore Singapore

In adaptive bitrate streaming, is it necessary to pre-transcode each video and cache all video chunks? To answer this, the authors designed a network function virtualization (NFV)-based virtual cache (vCache) to dynam... 详细信息

关键词： Streaming Media transcoding Network Function Virtualization Servers Bit Rate Multimedia Communication Software Defined Radio Virtualization Web And Internet Services Multimedia Video Streaming Video Caching ABR NFV Adaptive Bitrate Streaming Network Function Virtualization Networking Internet Web Technologies Mobile Software Defined Networking

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SRv6Pipes: enabling in-network bytestream functions

SRv6Pipes: enabling in-network bytestream functions

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IFIP Networking Conference

作者： Fabien Duchene David Lebrun Olivier Bonaventure ICTEAM Université catholique de Louvain Louvain-la-Neuve Belgium

ISBN: (纸本)9781538662809;9783903176089

IPv6 Segment Routing is a recent IPv6 extension that is generating a lot of interest among researchers and in industry. Thanks to IPv6 SR, network operators can better control the paths followed by packets inside their networks. This provides enhanced traffic engineering capabilities and is key to support Service Function Chaining (SFC). With SFC, an end-to-end service is the composition of a series of in-network services. Simple services such as NAT, accounting or stateless firewalls can be implemented on a per-packet basis. However, more interesting services like transparent proxies, transparent compression or encryption, transcoding, etc. require functions that operate on the *** this paper, we extend the IPv6 implementation of Segment Routing in the Linux kernel to enable network functions that operate on the bytestream and not on a per-packet basis. Our SRv6Pipes enable network architects to design end-to-end services as a series of in-network functions. We evaluate the performance of our implementation with different microbenchmarks.

关键词： Middleboxes Routing Servers Computer architecture transcoding Linux IP networks

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On planning the adoption of new video standards in social media networks: a general framework and its application to HEVC

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SOCIAL NETWORK ANALYSIS AND MINING 2017年第1期7卷 1-16页

作者： Koziri, Maria Papadopoulos, Panos K. Tziritas, Nikos Dadaliaris, Antonios N. Loukopoulos, Thanasis Stamoulis, Georgios I. Univ Thessaly Dept Comp Sci 2-4 Papasiopoulou StrPO 35100 Lamia Greece Univ Thessaly Dept Comp Sci & Biomed Informat 2-4 Papasiopoulou StrPO 35100 Lamia Greece Chinese Acad Sci Shenzhen Inst Adv Technol Res Ctr Cloud Comp Shenzhen Peoples R China Univ Thessaly Elect & Comp Engn 37 Glavani StPO 38221 Volos Greece

In recent years, we have witnessed an explosion in the growth of social media networks, powered by the proliferation of handheld smart devices with high processing capabilities and a plethora of sensors including high-resolution cameras. A key component of information exchange in such networks, accounting for the majority of network traffic, is video. Currently, the de facto video coding standard in use is H. 264/AVC which was sufficient in addressing the challenges posed by HD more than a decade ago, but is less than efficient in the new era of 4K smart device cameras and 8K TV screens. Given that newer standards exist and are capable of achieving higher compression rates at the same quality compared to H. 264/AVC, we envision that within the next few years, the related industry will shift toward one of the newer video coding standards. For a social media network, such a transition poses manifold challenges, one of them being the need to transcode previous content in the newly adopted standard. In this paper, we illustrate a framework for performing such transition in a smooth manner. The framework, algorithms and strategies developed are applicable, perhaps with minor changes, regardless of the targeted standard for adoption. We detail on framework components through simulation experiments, using as a yardstick the adoption of high efficiency video coding. Results demonstrate that depending on the targeted social platform, different strategies should be applied, while the cost and benefits of the paradigm shift may vary significantly.

关键词： Video coding Social media HEVC Scheduling transcoding

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Offloading of Media transcoding for High-Quality Multimedia Services

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2012年第2期58卷 691-699页

作者： Kim, Seung Hun Kim, Keunsoo Lee, Changmin Ro, Won W. Yonsei Univ Embedded Syst & Comp Architecture Lab Sch Elect & Elect Engn Seoul 120749 South Korea

The demand for high-quality multimedia service in handheld devices has increased with the advance of consumer electronics technologies. However, there are inherent performance limits in such mobile devices due to low processing power, requirements for low power consumption, and limited storage capacity. These factors have obviously prevented high-performance multimedia services from being feasible. In addition, most of the mobile devices support distinct multimedia data formats for video and audio codecs, bit rate, and screen size. Therefore, streaming media or receiving data from other users' devices essentially requires additional data translation along with a transcoding operation. However, most of the processors that are used in mobile devices or even in personal media servers cannot provide sufficient processing power for transcoding. To address the problem, this paper proposes an efficient offloading method for media transcoding can be applied in current commercial products. The system is designed on top of Java and provides sufficient transcoding performance for media streaming with low-end processors.

关键词： Computation offloading transcoding media streaming mobile devices low-power consumption

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Block DCT to wavelet transcoding in transform domain

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SIGNAL IMAGE AND VIDEO PROCESSING 2012年第2期6卷 179-195页

作者： Kapinaiah, Viswanath Mukherjee, Jayanta Biswas, Prabir Kumar SIT Dept Telecommun Engn Tumkur India IIT Dept Comp Sci & Engn Kharagpur W Bengal India IIT Dept Elect & Elect Commun Engn Kharagpur W Bengal India

The Discrete Cosine Transform (DCT) to wavelet transcoding provides input for several wavelet-based post-processing techniques of the DCT-coded image/video signals. transcoding in domain transform avoids inverse transform and retransform operations and saves computation. In this paper, we propose a new technique for transcoding the DCT blocks to wavelet coefficients directly in the transform domain. We perform filtering, IDCT and downsampling operations in a single combined step. The proposed technique achieves the same computational result as that of a spatial domain technique. The transcoding matrices used in the proposed technique are found to satisfy certain symmetric and sparse properties, which are exploited to reduce the computational cost. As the number of zeros in the DCT coefficients is significantly higher compared to the spatial domain, computational cost reduces significantly. Also, with the proposed technique, it is possible to speedup the operation by ignoring some elements in the filtering matrices whose magnitudes are smaller than a threshold value. We demonstrate the application of the proposed transcoding for deblocking of the DCT-coded images in wavelet domain.

关键词： Block DCT DWT transcoding Transform domain filtering Deblocking

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ParSy: Inspection and Transformation of Sparse Matrix Computations for Parallelism 18

ParSy: Inspection and Transformation of Sparse Matrix Comput...

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ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis

作者： Kazem Cheshmi Shoaib Kamil Michelle Mills Strout Maryam Mehri Dehnavi University of Toronto Toronto Canada Adobe Research University of Arizona

ISBN: (纸本)9781538683859

In this work, we describe ParSy, a framework that uses a novel inspection strategy along with a simple code transformation to optimize parallel sparse algorithms for shared memory processors. Unlike existing approaches that can suffer from load imbalance and excessive synchronization, ParSy uses a novel task coarsening strategy to create well-balanced tasks that can execute in parallel, while maintaining locality of memory accesses. Code using the ParSy inspector and transformation outperforms existing highly-optimized sparse matrix algorithms such as Cholesky factorization on multi-core processors with speedups of 2.8× and 3.1× over the MKL Pardiso and PaStiX libraries respectively.

关键词： Sparse matrices Parallel processing Synchronization Level set Kernel Partitioning algorithms Inspection Sparse matrix Partitioning algorithms Level set PARALLEL PROCESSING (COMPUTERS) matrix calculation Synclitism Inspection Kernel transcoding unbalanced load Cholesky factorisation Multi-core processors

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A transcoding System for Audio Standards

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IEEE TRANSACTIONS ON MULTIMEDIA 2012年第5期14卷 1381-1389页

作者： Mansour, Mohamed F. Texas Instruments Inc Syst & Applicat R&D Ctr Dallas TX 75243 USA

We describe an efficient implementation for converting MPEG-2/MPEG-4 Advanced Audio Coding (AAC) encoded data to Dolby Digital AC-3. We describe many techniques to exploit the information in the AAC bitstream to simplify the AC-3 encoder. These techniques can be straightforwardly used in other transcoding schemes between different multimedia standards.

关键词： Audio standards Dolby digital MPEG transcoding

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On the Efficiency Difference Between Range and Huffman Coding on CELT Layer of Opus Audio Coder

On the Efficiency Difference Between Range and Huffman Codin...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Shingchern D. You Po-Yueh Lai National Taipei University of Technology Taipei Taiwan

This paper compares the coding efficiency between the range coder in the Opus coder and the Huffman coder used in the MP-3 (MPEG-I Layer 3) and MPEG-2 AAC. The results show that the range coder has efficiency advantage of about 9 % at a rate of 128 kbps. The simulation, in a sense, indicates that transcoding from the Opus format to MP-3 or AAC format will lead to quality degradation.

关键词： Speech coding Bit rate Transform coding transcoding Audio coding ISO Standards

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Fast HEVC Transrating using Random Forests

Fast HEVC Transrating using Random Forests

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IEEE Visual Communications and Image Processing (VCIP)

作者： Mateus Grellert Tiago Oliveira Carlos Rafael Duarte Luis A. da Silva Cruz Graduate Program in Electronic and Computer Engineering Catholic University of Pelotas Brazil

ISBN: (纸本)9781538644591;9781538644584

This article describes a fast transrating solution for HEVC based on classification and machine learning techniques. Two classifiers are trained to predict the range of CTU quadtree depths that will be searched to find the best CTU partitioning. Three approaches are proposed for reducing the number of features used by the classifiers, two based on feature selection, and one based on feature transformation using autoencoders. A full transrating framework based on x265 is built for model training and evaluation. Experimental results using the x265 encoder show that an average 41.81% computational complexity reduction can be achieved at the cost of a tolerable 0.29% Bjontegaard-Delta bitrate, outperforming competing methods.

关键词： Feature extraction Training Bit rate Streaming media transcoding Upper bound

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