Worthy visual content on mobile through interactive video streaming

Fernandez, Ivan Alen; Vleeschouwer, Christophe De; Lavigne, Fabien; Desurmont, Xavier

doi:10.1109/icme.2010.5583870

Cited by 4 publications

(8 citation statements)

References 8 publications

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“…This leads to the conclusion that it is possible to display the video at a smaller size than the full screen of a smart phone, which enables us to display additional information with the video. A similar form of interactivity and parallel courses of action like in interactive video can be found in [4]. Enhanced forms of content are represented in a mobile streaming environment.…”

Section: Related Workmentioning

confidence: 99%

A mobile player for interactive non-linear video

Meixner

Köstler

Kosch

2011

Proceedings of the 19th ACM International Conference on Multimedia

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With rapid improvements in available bandwidth and processing power of smart phones, the presentation of interactive non-linear video became possible. Web players for these form of video already exist, they usually have a video area and one or more annotation areas. Most of them can not be used for mobile phones because of their space consuming representation. This work presents a player to display interactive nonlinear videos on Android smart phones. The small display size and the possibility to switch between portrait and landscape mode have been taken into account. The player also provides functions to manage a library of downloaded interactive videos for off line use as well as bookmarks.

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Section: Related Workmentioning

confidence: 99%

A mobile player for interactive non-linear video

Meixner

Köstler

Kosch

2011

Proceedings of the 19th ACM International Conference on Multimedia

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“…For video surveillance, automatic RoI extraction methods are used in order to extract the moving objects of the scene. Examples of such methods are presented in [16], [40] and [41]. Alternative videos are then generated by cropping the areas of the image containing the objects of interest.…”

Section: A Interactive Commands and Browsing Optionsmentioning

confidence: 99%

“…Interested readers may refer to [15] for more details about shot definition, and view type classification. They can also refer to [16] for the automatic generation of zoomed-in versions in case of far view. Figure 9 presents an example of our framework applied to soccer game.…”

Section: B Temporal Consistency and Division In Shots Clips And Segmentioning

confidence: 99%

“…Based on relations (6)(7)(8) and on the bandwidth model (12), we would get Figure 18. CDFs for the six scenarios Injecting values of Table VII into relations (14) and (16), we can plot the probability (10) in Fig. 19.…”

Section: A Definition Of Up-switch Thresholdsmentioning

confidence: 99%

“…Such automatic versioning methods are indeed required to support the deployment of fully autonomous infrastructures for interactive content distribution. To address this issue, we survey some of our earlier contributions [15], [16] to explain how different video streams can be extracted out of high resolution content in a fully automatic manner both in the videosurveillance [17]- [20] and sport broadcast context [21]- [24]. Spatial and temporal adaptations are considered.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Interactive Video Streaming Architecture Featuring Bitrate Adaptation

Fernandez¹,

Vleeschouwer²,

Toma³

et al. 2012

JCM

Self Cite

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This paper describes an interactive and adaptive streaming architecture that exploits temporal concatenation of H.264/AVC video bit-streams to dynamically adapt to both user commands and network conditions. The architecture has been designed to improve the viewing experience when accessing video content through individual and potentially bandwidth constrained connections. On the one hand, the user commands typically gives the client the opportunity to select interactively a preferred version among the multiple video clips that are made available to render the scene, e.g. using different view angles, or zoomed-in and slow-motion factors. On the other hand, the adaptation to the network bandwidth ensures effective management of the client buffer, which appears to be fundamental to reduce the client-server interaction latency, while maximizing video quality and preventing buffer underflow. In addition to user interaction and network adaptation, the deployment of fully autonomous infrastructures for interactive content distribution also requires the development of automatic versioning methods. Hence, the paper also surveys a number of approaches proposed for this purpose in surveillance and sport event contexts. Both objective metrics and subjective experiments are exploited to assess our system

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Forward Error Correction Applied to JPEG-XS Codestreams

Legrand

Macq

Vleeschouwer

2022

2022 IEEE International Conference on Image Processing (ICIP)

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JPEG-XS offers low complexity image compression for applications with constrained but reasonable bit-rate, and low latency. Our paper explores the deployment of JPEG-XS on lossy packet networks. To preserve low latency, Forward Error Correction (FEC) is envisioned as the protection mechanism of interest. Although the JPEG-XS codestream is not scalable in essence, we observe that the loss of a codestream fraction impacts the decoded image quality differently, depending on whether this codestream fraction corresponds to codestream headers, to coefficient significance information, or to low/high frequency data. Hence, we propose a rate-distortion optimal unequal error protection scheme that adapts the redundancy level of Reed-Solomon codes according to the rate of channel losses and the type of information protected by the code. Our experiments demonstrate that, at 5% loss rates, it reduces the Mean Squared Error by up to 92% and 65%, compared to a transmission without and with optimal but equal protection, respectively.

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Worthy visual content on mobile through interactive video streaming

Cited by 4 publications

References 8 publications

A mobile player for interactive non-linear video

A mobile player for interactive non-linear video

An Interactive Video Streaming Architecture Featuring Bitrate Adaptation

Forward Error Correction Applied to JPEG-XS Codestreams

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