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Real-Time Adaptation to Time-Varying Constraints for Medical Video Communications

Published on Jul 1, 2018in IEEE Journal of Biomedical and Health Informatics4.22
· DOI :10.1109/JBHI.2017.2726180
Zinonas C. Antoniou5
Estimated H-index: 5
(UCY: University of Cyprus),
A. Panayides11
Estimated H-index: 11
(UCY: University of Cyprus)
+ 3 AuthorsMarios S. Pattichis25
Estimated H-index: 25
(UNM: University of New Mexico)
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Abstract
The wider adoption of mobile Health video communication systems in standard clinical practice requires real-time control to provide for adequate levels of clinical video quality to support reliable diagnosis. The latter can only be achieved with real-time adaptation to time-varying wireless networks’ state to guarantee clinically acceptable performance throughout the streaming session, while conforming to device capabilities for supporting real-time encoding. We propose an adaptive video encoding framework based on multi-objective optimization that jointly maximizes the encoded video's quality and encoding rate (in frames per second) while minimizing bitrate demands. For this purpose, we construct a dense encoding space and use linear regression to estimate forward prediction models for quality, bitrate, and computational complexity. The prediction models are then used in an adaptive control framework that can fine-tune video encoding based on real-time constraints. We validate the system using a leave-one-out algorithm applied to ten ultrasound videos of the common carotid artery. The prediction models can estimate structural similarity quality with a median accuracy error of less than 1%, bitrate demands with deviation error of 10% or less, and encoding frame rate within a 6% margin. Real-time adaptation at a group of pictures level is demonstrated using the high efficiency video coding standard. The effectiveness of the proposed framework compared to static, nonadaptive approaches is demonstrated for different modes of operation, achieving significant quality gains, bitrate demands reductions, and performance improvements, in real-life scenarios imposing time-varying constraints. Our approach is generic and should be applicable to other medical video modalities with different applications.
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Newest
Published on Feb 1, 2018in Journal of Real-time Image Processing2.59
Yuebing Jiang6
Estimated H-index: 6
(UNM: University of New Mexico),
Marios S. Pattichis25
Estimated H-index: 25
(UNM: University of New Mexico)
We propose a dynamically reconfigurable system for time-varying image constraints (DRASTIC) for applications in video communications. DRASTIC defines a framework for both joint and independent optimization of dynamic power, image quality, and bitrate subject to different constraint scenarios. We demonstrate DRASTIC for intra-mode video encoding for MJPEG. However, since the DCT is critical component of most video coding standards, our approach can be extended to modern standards such as AVC (H.2...
Published on Oct 1, 2016in IEEE Transactions on Multimedia5.45
Sergio Cicalo6
Estimated H-index: 6
(University of Ferrara),
Matteo Mazzotti9
Estimated H-index: 9
+ 2 AuthorsMarco Chiani38
Estimated H-index: 38
(UNIBO: University of Bologna)
M-health services are expected to become increasingly relevant in the management of emergency situations by enabling real-time support of remote medical experts. In this context, the transmission of multiple health-related video streams from an ambulance to a remote hospital can improve the efficacy of the teleconsultation service, but requires a large bandwidth to meet the desired quality, not always guaranteed by the mobile network. In order to deliver the multiple streams over a single bandwi...
Published on Apr 1, 2016in IEEE Transactions on Multimedia5.45
Chao Zhou6
Estimated H-index: 6
(PKU: Peking University),
Chia-Wen Lin26
Estimated H-index: 26
(NTHU: National Tsing Hua University),
Zongming Guo17
Estimated H-index: 17
(PKU: Peking University)
Jill Macdonald Boyce19
Estimated H-index: 19
,
Yan Ye7
Estimated H-index: 7
(InterDigital, Inc.)
+ 1 AuthorsAdarsh Krishnan Ramasubramonian3
Estimated H-index: 3
(Qualcomm)
This paper provides an overview of Scalable High efficiency Video Coding (SHVC), the scalable extensions of the High Efficiency Video Coding (HEVC) standard, published in the second version of HEVC. In addition to the temporal scalability already provided by the first version of HEVC, SHVC further provides spatial, signal-to-noise ratio, bit depth, and color gamut scalability functionalities, as well as combinations of any of these. The SHVC architecture design enables SHVC implementations to be...
Published on Aug 1, 2015 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
Zinonas C. Antoniou5
Estimated H-index: 5
(UCY: University of Cyprus),
A. Panayides11
Estimated H-index: 11
(Imperial College London)
+ 5 AuthorsConstantinos S. Pattichis34
Estimated H-index: 34
(UCY: University of Cyprus)
This study proposes a unifying framework for m-Health video communication systems that provides for the joint optimization of video quality, bitrate demands, and encoding time. The framework is video modality and infrastructure independent and facilitates adaptation to the best available encoding mode that satisfies underlying technology and application imposed constraints. The scalability of the proposed algorithm is demonstrated using different HEVC encoding configurations and realistic modell...
Published on Mar 1, 2015in IEEE Journal of Biomedical and Health Informatics4.22
A. Panayides11
Estimated H-index: 11
(Imperial College London),
Marios S. Pattichis25
Estimated H-index: 25
(UNM: University of New Mexico)
+ 3 AuthorsConstantinos S. Pattichis34
Estimated H-index: 34
(UCY: University of Cyprus)
The recent emergence of the high-efficiency video coding (HEVC) standard promises to deliver significant bitrate savings over current and prior video compression standards, while also supporting higher resolutions that can meet the clinical acquisition spatiotemporal settings. The effective application of HEVC to medical ultrasound necessitates a careful evaluation of strict clinical criteria that guarantee that clinical quality will not be sacrificed in the compression process. Furthermore, the...
Published on Oct 1, 2014 in ICIP (International Conference on Image Processing)
Christian Herglotz4
Estimated H-index: 4
,
Dominic Springer5
Estimated H-index: 5
,
André Kaup25
Estimated H-index: 25
Video decoding on portable devices such as smartphones or tablet PCs requires a considerable amount of battery power, shortening their operating time significantly. Hence, tools aiming at minimizing the decoding energy are of special interest. To this end, this paper presents a novel model capable of estimating the energy consumed when decoding an HEVC-coded video. This information can be used to optimize implementations and improve the encoding procedure. An accurate and a more convenient simpl...
Published on Sep 1, 2014in IEEE Journal of Biomedical and Health Informatics4.22
Eva Cavero3
Estimated H-index: 3
(University of Zaragoza),
Álvaro Alesanco14
Estimated H-index: 14
(University of Zaragoza),
José I. García21
Estimated H-index: 21
(University of Zaragoza)
Published on Sep 1, 2014in IEEE Journal of Biomedical and Health Informatics4.22
Manzoor Razaak4
Estimated H-index: 4
(KUL: Kingston University),
Maria G. Martini19
Estimated H-index: 19
(KUL: Kingston University),
Ketty Savino2
Estimated H-index: 2
The quality of experience and quality of service provided in the healthcare sector are critical in evaluating the reliable delivery of the healthcare services provided. Medical images and videos play a major role in modern e-health services and have become an integral part of medical data communication systems. The quality evaluation of medical images and videos is an essential process, and one of the ways of addressing it is via the use of quality metrics. In this paper, we evaluate the perform...
Published on Jan 6, 2014 in MMM (Conference on Multimedia Modeling)
Zhe Sheng1
Estimated H-index: 1
(Waseda University),
Dajiang Zhou16
Estimated H-index: 16
(Waseda University)
+ 1 AuthorsGoto Satoshi28
Estimated H-index: 28
(Waseda University)
HEVC achieves a better coding efficiency relative to prior standards, but also involves dramatically increased complexity. The complexity increase for intra prediction is especially intensive due to a highly flexible quad-tree coding structure and a large number of prediction modes. The encoder employs rate-distortion optimization (RDO) to select the optimal coding mode. And RDO takes a great portion of intra encoding complexity.Moreover HEVC has stronger dependency on RDO than H.264/AVC. To red...
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Published on Sep 1, 2018
Sotiris Avgousti1
Estimated H-index: 1
(CUT: Cyprus University of Technology),
A. Panayides11
Estimated H-index: 11
(UCY: University of Cyprus)
+ 5 AuthorsPierre Vieyres12
Estimated H-index: 12
(University of Orléans)
Medical telerobotic systems provide a framework for performing interventional and diagnostic procedures remotely utilizing communication networks. Over the past decade, various systems have demonstrated the feasibility and the significance of telerobotics, some of which have been already adopted in clinical practice. In this study, we elaborate on the potential and discuss associated challenges focusing on the enabling technologies, namely robotic manipulation, telecommunications, and vision sys...