WAVA: A New Web Service for Automatic Video Data Flow Adaptation in Heterogeneous Collaborative Environments

Aupet, Jean-Baptiste; Kassab, Rami; Lapayre, Jean-Christophe

doi:10.1007/978-3-642-04265-2_42

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…1. Practitioners (A, B, C) connect to WAVA to register themselves, transmitting their capabilities as VAC [2,3], WAVA will give each of them a rank. 2.…”

Section: Adaptability Collaboration Enhancermentioning

confidence: 99%

Scars collaborative telediagnosis platform using adaptive image flow

Kassab

Lapayre

Aupet

et al. 2013

ICA

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Telemedicine has been developed to allow practitioners to remotely connect with patients and with other medical staff. We propose a new system (hardware and software), named DICODERM (COllaborative DIagnosis of DERMatosis), which makes it possible to monitor the evolution of scars after the excision of a tumorous dermatosis (like melanoma). The hardware part of this system is composed of a new optical innovative probe with which two types of images can be acquired simultaneously: anatomic with a white light image and functional with a fluorescence image (using autofluorescence from the protoporphyrin within the cancer cell). The software part is composed of two components: the image stitching component, and the collaborative/adaptive layer component. Our system creates a panoramic view of these scars obtained by stitching a sequence of small images. We conducted experiments for different image stitching algorithms to define the best solution. We also deployed a second component: a collaborative system layer which allows to remotely share images of scars and to adapt these images. We also made the system adaptive to communicate across different client platforms. We conducted experiments to compare the exchange of images with or without adaptation: these tests showed the efficiency of our layer.

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“…1. Practitioners (A, B, C) connect to WAVA to register themselves, transmitting their capabilities as VAC [2,3], WAVA will give each of them a rank. 2.…”

Section: Adaptability Collaboration Enhancermentioning

confidence: 99%

Scars collaborative telediagnosis platform using adaptive image flow

Kassab

Lapayre

Aupet

et al. 2013

ICA

Self Cite

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“…We suppose that the practitioners could have different types of connections to the system (for example Internet, Wi-Fi or 3G) and as well different terminals with different capabilities. Because they cannot receive the same panorama, we switch to the adapted solution by adding the WAVA, a new "Web service for Automatic Video data flow Adaptation" module, which adapts the previous scenario like this: Practitioners (A, B, C) connect to WAVA to register themselves, transmitting their capabilities as an XML file called VAC (Virtual Adaptation Card) [16,17]. WAVA gives each of them a rank.…”

Section: Depending On Preliminary Information and Feedback Of The Sesmentioning

confidence: 99%

An optimized algorithm of image stitching in the case of a multi-modal probe for monitoring the evolution of scars

Kassab

Treuillet

Marzani³

et al. 2013

SPIE Proceedings

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We propose a new system that makes possible to monitor the evolution of scars after the excision of a tumorous dermatosis. The hardware part of this system is composed of a new optical innovative probe with which two types of images can be acquired simultaneously: an anatomic image acquired under a white light and a functional one based on autofluorescence from the protoporphyrin within the cancer cells. For technical reasons related to the maximum size of the area covered by the probe, acquired images are too small to cover the whole scar. That is why a sequence of overlapping images is taken in order to cover the required area. The main goal of this paper is to describe the creation of two panoramic images (anatomic and functional). Fluorescence images do not have enough salient information for matching the images; stitching algorithms are applied over each couple of successive white light images to produce an anatomic panorama of the entire scar. The same transformations obtained from this step are used to register and stitch the functional images. Several experiments have been implemented using different stitching algorithms (SIFT, ASIFT and SURF), with various transformation parameters (angles of rotation, projection, scaling, etc…) and different types of skin images. We present the results of these experiments that propose the best solution. Thus, clinician has two panoramic images superimposed and usable for diagnostic support. A collaborative layer is added to the system to allow sharing panoramas among several practitioners over different places.

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“…We suppose that every doctor could have a different type of connection to the system "Internet, Wi-Fi, 3G, etc ", and as well different devices that makes them has different capabilities, and they cannot receive the same panorama, that is why we passed to the adapted solution by adding the WAVA module, which makes the last scenario becomes like this: First step, doctors connect to WAVA to register themselves, giving their capabilities, WAVA will give each of them a rank, the web service well receive the images from the acquisition Remote Stitching Collaborative System with and without Wava adaptation party, and apply the necessary process to have the panoramic optical and Fluorescence image, making different copies with different qualities, saving them in a data base [1]. When doctors connect to web service searching panoramic images, it will send a request of quality of each of them to WAVA, which will send back the quality response, at the end the web service will send to each doctor the adapted panorama, over which he will make his diagnostic Fig 5 the …”

Section: Adaptability Collaboration Enhancermentioning

confidence: 99%

Adaptative image flow in collaborative medical telediagnosis environments

Aupet¹,

Kassab²,

Lapayre³

et al. 2011

Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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Telemedicine, the application of telecommunication in the medicine field, has been developed to meet major problems encountered in connecting doctors to collaborate with patients and other medical staff. Having a robust and efficient telemedical system has always been a challenge. The system needs to make the members in different locations capable of sharing medical data efficiently and without errors. In this work, we present a telemedical system that overcomes these challenges. We deploy a collaborative system and adapt data to store, visualize, modify and transfer fluorescence images in real time. We also make the system adaptive to communicate across different client platforms. We conduct experiments comparing our method with traditional collaborative system, and all results confirm our system is over others in terms of efficiency and robustness.

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WAVA: A New Web Service for Automatic Video Data Flow Adaptation in Heterogeneous Collaborative Environments

Cited by 4 publications

References 9 publications

Scars collaborative telediagnosis platform using adaptive image flow

Scars collaborative telediagnosis platform using adaptive image flow

An optimized algorithm of image stitching in the case of a multi-modal probe for monitoring the evolution of scars

Adaptative image flow in collaborative medical telediagnosis environments

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