Peter Schojer, László Böszörményi, Hermann Hellwagner · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
An <i>adaptive</i> multimedia proxy is presented which provides (1) caching, (2) filtering, and (3) media gateway functionalities. The proxy can perform media adaptation on its own, either relying on layered coding or using transcoding in the decompressed domain. A cost model is presented which incorporates user requirements, terminal apabilities, and video variations in one formula. Based on this model, the proxy acts as a general <i>broker</i> of different user requirements and of different video variations. This is a first step towards <i>What You Need is What You Get</i> (WYNIWYG) video services, which deliver videos to users in exactly the quality they need and are willing to pay for. The MPEG-7 and MPEG-21 standards enable this in an interoperable way. A detailed evaluation based on a series of simulation runs is provided.
Cited by 3
Seung S. Yang, Javed Khan · IGI Global eBooks · 2011
This chapter provides a comprehensive awareness and understanding of research efforts in the field of extreme rate-distributed video transcoding. The basic concepts and theories of rate control methods such as requantization, temporal resolution reduction, spatial resolution reduction, and object-based transcoding are introduced. We will identify each rate control scheme’s strengths and weaknesses and provide a distributed video transcoding system architecture that uses multiple transcoding techniques in the creation of an extreme rate video. Experimental results show that the appropriate use of multiple transcoding schemes retains a better quality video in an extreme rate control. At the end of this chapter, we will identify unsolved problems and related issues and will offer suggestions for future research directions.
Cited by 0
Safak Dogan · OpenGrey (Institut de l'Information Scientifique et Technique) · 2001
Available from British Library Document Supply Centre-DSC:DXN044594 / BLDSC - British Library Document Supply Centre
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Ming Yang, Jianfei Cai, Weiwen Zhang et al. · 2015
Cloud computing is emerging as a new paradigm which enables big data computing, including high quality media processing. However, considering the media dynamics on resource consumption and the QoS criteria, dynamically providing the cloud computing resource to meet the QoS requirements of media processing is not easy. The current cloud computing infrastructure usually employs auto-scaling to dynamically adjust the computing resource allocation, which is typically performed at relatively long time scale and cannot adapt to the dynamic changes of video arrivals or content changes at relatively short time scale. In this paper, we propose to adaptively configure the video transcoding mode to deal with the short-term transcoding QoS and computing resource mismatch problem. We formulate the problem as the one to minimize the output bit-rate with the queue stability constraint, for which we use the Lyapunov optimization framework to solve it. Simulation results show that, compared with the static configuration strategy, the proposed adaptive method achieves smooth transcoding QoS degradation when system load becomes heavier and much better transcoding delay performance.
Cited by 2
Rosario Garrido-Cantos, Jan De Cock, José Luis Martínez et al. · Telecommunication Systems · 2011
Cited by 9
Maurizio A. Bonuccelli Ý · 2008
Third generation mobile communication systems will provide more advanced types of interactive and distribution services, and video is one of the most prominent applications for multimedia communications. Adapting the media content to different networks characteristics (communication links and access terminals), in order to enable video delivery with acceptable service quality, is one of the most important problems in this setting. In this paper, we consider one of the video adaptation methods, namely video transcoding, and we present new buffer-based strategies for temporal video transcoding in a real-time context. Simulation results show that our strategies achieve a good performance in hard transcoding conditions also. 1
Cited by 0
Michael Guarisco · theses.fr (ABES) · 2011
Le transcodage est un élément clé dans la transmission vidéo permettant à une séquence vidéo de passer d'un type de codage à un autre afin de s'adapter au mieux aux capacités de transport d'un canal de transmission. L'intérêt de ce type de traitement est de faire profiter un maximum d'utilisateurs possédant des terminaux variés dont la résolution spatiale, la résolution temporelle affichable, et le type de canal utilisé pour accéder au média varient fortement, et cela à partir d'une seule source de qualité et résolution maximale, stockée sur un serveur, par exemple. Le transcodage est adapté dans les cas où l'on souhaite envoyer une séquence vidéo vers un destinataire et dont le chemin serait constitué de divers canaux de transmission. Nous avons réalisé un transcodeur par requantification ainsi qu'un transcodeur par troncature. Ces deux méthodes ont été comparées et il apparait qu'en termes de qualité d'image l'une ou l'autre de ces méthodes est plus efficace selon le contexte. La suite de nos travaux consiste en l'étude du standard scalable dérivé de H.264 AVC, le standard SVC (Scalable Video Coding). Nous avons souhaité étudier un transcodeur en qualité, mais aussi en résolution spatiale qui permettra de réécrire le flux SVC en un flux AVC décodable par les décodeurs du marché actuel. Cette transposition est réalisée grâce à une architecture reconfigurable permettant de s'adapter aux nombreux types de flux pouvant être conformes au standard SVC d' H.264. L'étude proposée a aboutie à une implémentation partielle d'un transcodeur du type SVC vers AVC. Nous proposons dans cette thèse une description des implémentations de transcodage concernant les formats AVC puis SVC
Cited by 0Open access
Rare & Special e-Zone (The Hong Kong University of Science and Technology) · 2005
Key frame selection for video transcoding by Chau Wing San thesis 2005 xiv, 84 leaves : ill. ; 30 cm Key Frame Selection is the process to select the most representative frames of a long video sequence based on a…Read more ›
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呂建億; Lu, Chien-Yi · 2013
碩士
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Abdulbaset Gaddah · 2001
Cited by 0Open access
Daisuke Sato, Hisashi Miyashita, Hironobu Takagi et al. · 2007
It is not surprising that rich Internet content, such as Flash and DHTML, is some of the most pervasive content because of its visual attractiveness to the sighted majority. Such visually rich content has been causing severe accessibility problems, especially for people with visual disabilities. For Flash content, the kinds of accessibility information necessary for screen readers is not usually provided in the existing content. A typical example of such missing data is the lack of alternative text for buttons, hypertext links, widget roles, and so on. One of the major reasons is that the current accessibility framework of Flash content imposes a burden on content authors to make their content accessible. As a result, adding support for accessibility tends to be neglected, and screen reader users are left out of the richer Internet experiences.
Cited by 11
Sajad Sameti, Mea Wang, Diwakar Krishnamurthy · 2019
With the ever growing popularity of video services, maintaining high Quality of Experience (QoE) of the end users with heterogeneous devices and network conditions is becoming more challenging. Each user requires content that matches with their device capability and network conditions. This motivates the need for flexible video transcoding, which enables changing the properties of videos on-the-fly to fit different users. However, the transcoding process is compute intensive especially when handling modern video coding standards such as High Efficiency Video Coding (HEVC) and supporting emerging applications such as live broadcasts. Consequently, there is a need for lightweight and resource-efficient systems that can perform transcoding quickly at real-time to sustain desired user QoE requirements. We design and implement a container-based video transcoding system to address this need. We experimentally show that our system can meet real-time transcoding while using less computational resources than a native transcoding approach. Our work also identifies container and transcoder parameters that can impact the overall performance of the proposed system.
Cited by 1
Philippe Bootz · 2020
The article broaches the question of transcoding works of programmed digital poetry from two models of digital communication: the cybertext and the procedural model. It recalls the fundamental semiotic concepts introduced in the procedural model to describe the rhetorical relations between the source program and the visual: the snatches and the braids, and shows the presence of a particular figure: the proxymore in works by several authors: J.M Dutey, T. Papp, BpNichol. It then postulates a complete semiotic goal to transcoding and develops a concept of reading machine as an alternative to transcoding, more powerful than this last, in the optics of the preservation of digital literary works
Cited by 1
Fu-shing Ju, Ce-Min Fang · 2006
Bitrate or format transcoding of digital audio data is extremely important in many different types of applications. Transcoding can be performed via complete decoding and re-encoding, but this entails a very high cost in computing power. In this paper, we propose a transcoding method employing frequency domain signals. This method can dramatically reduce the memory requirement and computing power, that is very suitable for computing and power limited applications, such as multimedia recording and playing in handheld devices
Cited by 2
Niklas Björk, C. Christopoulos · 2000
This paper discusses the issue of adapting video streams to different type of terminals with different terminal capabilities such as screen size, amount of available memory, processing power and type of network access. This functionality will be very useful for the Universal Multimedia Access application related to MPEG-7 standardization activities. Two different models for transcoding are examined, rate reduction and resolution reduction. Results will show that the computational complexity of the basic transcoding model can be reduced for each model by, on average, 39% and 23% without significant loss in quality. Comparisons with the scaleable coding model are also shown.
Cited by 24Open access
Euisun Kang, Daehyuck Park, Young-Hwan Lim · Lecture notes in computer science · 2006
Cited by 4
Daniel Lemire, Robert Clausecker · 2022
Intel includes on its recent processors a powerful set of instructions capable of processing 512-bit registers with a single instruction (AVX-512). Some of these instructions have no equivalent in earlier instruction sets. We leverage these instructions to efficiently transcode strings between the most common formats: UTF-8 and UTF-16. With our novel algorithms, we are often twice as fast as the previous best solutions. For example, we transcode Chinese text from UTF-8 to UTF-16 at more than 5 GiB s − 1 using fewer than 2 CPU instructions per character. To ensure reproducibility, we make our software freely available as an open source library.
Cited by 0Open access
Haiyan Shu, Lap‐Pui Chau · 2004
Transcoding is adopted to deliver video content to a broad range of end users with different preferences and bandwidth constraints. Frame-skipping transcoding is one of the solutions to reduce the temporal resolution of the video sequence and decrease the overall bit rate. Traditionally used control scheme in frame-skipping transcoding is based on buffer constraint or considers the motion activity of each frame. In this paper, we would like to propose a new frame-skipping control scheme that considers the motion change and tries to reduce the jerky effects caused by the undesired frame skipping. Experiments show that proposed frame-skipping control scheme can produce transcoded video look more like the original one and hence remain the visual quality.
Cited by 14
# Web Ergonomics Laboratory, Akpinar, Elgin, Yesilada, Yeliz · Figshare · 2014
As web technologies evolve and enable designers to create more visually interactive and consequently complex web pages, unfortunately, accessing these pages in alternative forms such as by using screen read- ers or mobile devices, is still a major problem. In the context of eMINE project, an algorithm to visually identify visual elements and their roles in the web pages, and eMINE Scanpath Analysis Algorithm to generate a common scanpath for visual elements by using eye tracking data were proposed. In this technical report, a number of transcoding techniques and their architectures are discussed. These techniques aim to combine the visual element identification with eMINE Scanpath Analysis Algorithm.
Cited by 0Open access
Xiaopeng Fan, Oscar C. Au, Mengyao Ma et al. · 2009
A variety of techniques have been proposed to enhance the error robustness of the video streaming system. However, most of them improves the error resilience during compression rather than after compression. In this paper, we propose a novel transcoding based scheme called lossless inter frame transcoding (LIFT) scheme to improve the error resilience of existing compressed video stream. In the LIFT scheme, inter coded blocks are selectively transcoded into new kind of blocks called ‘L-block’. At the decoder, the L-block can be transcoded back to the original P-block when the prediction is available and can also be robustly decoded as I-block when the prediction is unavailable. By offline transcoding and online adjusting the ratio of P-blocks and L-blocks, the proposed streaming server achieves error robustness scalability. Experimental results demonstrate the correctness and effectiveness of the proposed method.
Cited by 2