Content-based transcoding of images in the Internet

Smith, J. R.; Mohan, Rakesh; Li, Chung-Sheng

doi:10.1109/icip.1998.998987

Cited by 67 publications

(30 citation statements)

References 5 publications

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“…There is significant research on content adaptation for mobile devices [1,2,3,4,5,6,8,9,10,17,18,19,20], and even a few commercial adaptation systems have been deployed [1,21].…”

Section: Related Workmentioning

confidence: 99%

“…Most automatic systems generate adaptation policies either based on rules [1,6,7,20,22] or constraints [4,7,19,23]. In both approaches, adaptation policies are defined using high-level programming languages or mathematical formulas [22,23].…”

Section: Related Workmentioning

confidence: 99%

“…A promising solution to these problems is adaptation middleware, interposed in the network path between the client and web server, which automatically tailors content for individual mobile devices [1,2,3,4,5,6,7,8,9,10]. For example, images on web pages can be served to the user at a reduced fidelity in order to conserve bandwidth and energy, and improve download times.…”

Section: Introductionmentioning

confidence: 99%

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Correlation-Based Content Adaptation for Mobile Web Browsing

Mohomed

Scannell

Bila

et al. 2007

Lecture Notes in Computer Science

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Abstract. The resource impoverished environment on mobile devices results in a poor experience for users browsing the World Wide Web. Proxy-based middleware that transform content on the fly to better suit the resource conditions on a user's device provide a promising solution to this problem. A key challenge in such systems is deciding how to adapt content, especially when the same content has multiple uses that have varying adaptation requirements. In this paper, we show that it is possible to provide fine grain adaptation of multi-purpose content by detecting correlations in the adaptation requirements of past users across multiple objects on a web site, and using this history to make adaptation predictions for users encountered subsequently. To evaluate our technique, we built prototype page layout and image fidelity adaptation systems, and used these to gather traces from users browsing multi-purpose web content in a laboratory setting. Our experimental results show that using correlations to make adaptation predictions can significantly reduce bandwidth consumption, browsing time, energy usage and user effort required to adapt content.

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“…There is significant research on content adaptation for mobile devices [1,2,3,4,5,6,8,9,10,17,18,19,20], and even a few commercial adaptation systems have been deployed [1,21].…”

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Correlation-Based Content Adaptation for Mobile Web Browsing

Mohomed

Scannell

Bila

et al. 2007

Lecture Notes in Computer Science

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“…This is largely due to the popularization of mobile devices. In [17], an early contentbased image transcoder is described which takes the capabilities of the receiving client device and the type and purpose of the image into account. The authors demonstrate clear improvements in both image delivery speed and image accessibility.…”

Section: Related Workmentioning

confidence: 99%

Exploiting Proxy-Based Transcoding to Increase the User Quality of Experience in Networked Applications

Wijnants

Monsieurs

Quax

et al.

First International Workshop on Advanced Architectures and Algorithms for Internet Delivery and Applications (AAA-IDEA'05)

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“…A proxy capable of transcoding (referred to as a transcoding proxy) is placed between a client and an information server to coordinate the mismatch between what the server provides and what the client prefers. Since proxybased approaches are transparent to the content providers and users, this kind of approaches is able to simplify the design of servers and clients, and as a result, attracts much research attention, including cache replacement schemes [7][8], system architectures [10] [15] and proxy collaboration [7].…”

Section: Introductionmentioning

confidence: 99%

A QoS-aware transcoding proxy using on-demand data broadcasting

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Abstract-The high diversity in the capabilities of various mobile de-vices such as display capabilities and computation power makes the design of mobile information systems more challenging. A transcoding proxy is placed between a client and an information server to coordinate the mismatch be-tween what the server provides and what the client prefers. However, most research works in transcoding proxies in mo-bile computing environments are under the traditional client-server architecture and do not employ the data broadcast technique which is has been deemed a promising technique to design a power conservation, high scalable and high band-width utilization. In addition, the issue of QoS provision is also not addressed. In view of this, we design in this paper a QoS-aware transcoding proxy by utilizing the on-demand broadcasting technique. We first propose a QoS-aware transcoding proxy architecture, abbreviated as QTP, and model it as a queueing network. By analyzing the queueing network, several theoretical results are derived. We then propose a version decision policy and a service admission control scheme to provide QoS in QTP. The derived results are used to guide the execution of the proposed version decision policy and service admission control scheme to achieve the given QoS requirement. To measure the performance of QTP, several experiments are conducted. Experimental results show that the proposed scheme is more scalable than traditional client-server systems. In addition, the proposed scheme is able to effectively control the system load to attain the desired QoS.

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Content-based transcoding of images in the Internet

Cited by 67 publications

References 5 publications

Correlation-Based Content Adaptation for Mobile Web Browsing

Correlation-Based Content Adaptation for Mobile Web Browsing

Exploiting Proxy-Based Transcoding to Increase the User Quality of Experience in Networked Applications

A QoS-aware transcoding proxy using on-demand data broadcasting

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