News

  • Publication in Multimedia Tools and Applications (21st of September, 2016)

    The Montimage team published a journal paper entitled "On subjective quality assessment of adaptive video streaming via crowdsourcing and laboratory based experiments", (Jacob Søgaard, Muhammad Shahid, Jeevan Pokhrel, Kjell Brunnström). Abstract :Video streaming services are offered over the Internet and since the service providers do not have full control over the network conditions all the way to the end user, streaming technologies have been developed to maintain the quality of service in these varying network conditions i.e. so called adaptive video streaming. In order to cater for users’ Quality of Experience (QoE) requirements, HTTP based adaptive streaming solutions of video services have become popular. However, the keys to ensure the users a good QoE with this technology is still not completely understood. User QoE feedback is therefore instrumental in improving this understanding. Controlled laboratory based perceptual quality experiments that involve a panel of human viewers are considered to be the most valid method of the assessment of QoE. Besides laboratory based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This article presents insights into a study that investigates perceptual preferences of various adaptive video streaming scenarios through crowdsourcing based and laboratory based subjective assessment. The major novel contribution of this study is the application of Paired Comparison based subjective assessment in a crowdsourcing environment. The obtained results provide some novel indications, besides confirming the earlier published trends, of perceptual preferences for adaptive scenarios of video streaming. Our study suggests that in a network environment with fluctuations in the bandwidth, a medium or low video bitrate which can be kept constant is the best approach. Moreover, if there are only a few drops in bandwidth, one can choose a medium or high bitrate with a single or few buffering events.
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  • IPNQSIS is recognized with the 2016 celtic-plus innovation award for the best european R&D project (28th of April, 2016)

    IPNQSIS (IP Network Monitoring for Quality of Service Intelligent Support) project developed in collaboration with 18 companies, research institutes and universities in Spain, France, Sweden and Germany, has been distinguished with the 2016 Celtic-Plus Innovation Award for the best European R&D project in Stockholm, Thursday, April 28. This award is especially relevant because it recognizes the innovative nature of projects bearing the Celtic seal that have been completed and are considered to have a high potential for impacting the market.
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  • ITEA 2 project DIAMONDS wins EUREKA Innovation Award 2016 (27th of April, 2016)

    ITEA 2 project DIAMONDS (Development and Industrial Application of Multi-Domain Security Testing Technologies), where Montimage is an active partner, won the prestigious EUREKA Innovation Award 2016 in the category ‘Added Value’ and the Project Pitch Prize during the EUREKA Innovation week in Stockholm on 27 April. A winning project was announced for each of the three categories ‘Competitiveness’, ‘Added Value’ and ‘Innovators of tomorrow’. These three finalists then took part in a contest for the best project pitch, ultimately won by the DIAMONDS project.
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  • Participation to the DPSP Cluster in Naples, Italy (23rd of February, 2016)

    Montimage participated to the DPSP Cluster dealing with data protection, security and privacy in the Cloud. The Cluster was born with the aim to seek synergies between research projects dealing with security in the cloud and to join efforts towards greater impact. The topics addressed in the Cluster give continuity to research and innovation in the context of other EU-funded projects of the H2020, FP7 and CIP Programmes, and therefore these were invited to join the Cluster too. Wissam Mallouli was one the participants in the industrial panel of the Cluster.
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  • MEASURE France Kick-off (11th and 12th of January, 2016)

    The kick-off of the MEASURE project was organized on monday 11th January and Tuesday 12th January 2016 in the Softeam local (21 Avenue Victor Hugo 75016 Paris) in the fifth floor (Room "Bora Bora").
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  • Becaming Member of NetWord2020 (28th of October, 2015)

    Montimage is a member of the the European Technology Platform for communications networks and services NetWorld2020 . Communications networks enable interaction between users of various types of equipment, either mobile or fixed. They are the foundation of the Internet. The NetWorld2020 European Technology Platform gathers players of the communications networks sector: industry leaders, innovative SMEs, and leading academic institutions.
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  • Organisation of STAM 2016 Workshop (26th of October, 2015)

    The Second IEEE STAM 2016 workshop will be co-chaired by two persons representing two different organizations,Telecom SudParis and Montimage from France. It will be co-located with IEEE ICDCS 2016 in Nara, Japan.
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  • Organisation of TAROT 2016 Summer School(15th of October, 2015)

    TAROT (Training And Research On Testing) is a meeting point for people interested in the field of software testing and related areas. It provides a friendly environment for students to interact with practitioners and leaders in research both in academia and in industry. The program includes Intro Talks where students are encouraged to present their work, tools, and testing-related topics, and receive feedback.
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  • Publication in ICCE 2016 (29th of September, 2015)

    The Montimage team published a journal paper entitled " Interval Type-2 Fuzzy Logic Quality Prediction Model for Wireless 4kUHD H.265-coded Video Streaming", (Mohammed Alreshoodi, A.O Adeyemi-Ejeye, John Woods, S.D Walker and Jeevan Pokhrel) in the IEEE International Conference on Consumer Electronics, 2016. This approach has been developped in the context of the NOTTS project. Abstract : This paper proposes a prediction model for the perceptual quality of wireless 4kUHD H.265 video streaming. Based on Interval Type-2 Fuzzy Logic System (IT2FLS), the model exploits application and physical layer parameters. The results show that good prediction accuracy was obtained from the proposed prediction model. This study should help in the development of a reference-free video quality prediction model and QoS control methods for 4kUHD video streaming.
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  • Publication in journal of Electronic Imaging (29th of September, 2015)

    The Montimage team published a journal paper entitled "No-reference Video Quality Measurement: The Added Value of Machine Learning", (Decebal Constantin Mocanu, Jeevan Pokhrel, Juan Pablo Garella, Janne Seppanen ,Eirini Liotou and Manish Narwaria) in the Journal of Electronic Imaging, 2016. This approach has been developped in the context of the NOTTS project. Abstract : Video quality measurement is an important component in the end-to-end video delivery chain. Video quality is, however, subjective, and thus, there will always be interobserver differences in the subjective opinion about the visual quality of the same video. Despite this, most existing works on objective quality measurement typically focus only on predicting a single score and evaluate their prediction accuracies based on how close it is to the mean opinion scores (or similar average based ratings). Clearly, such an approach ignores the underlying diversities in the subjective scoring process and, as a result, does not allow further analysis on how reliable the objective prediction is in terms of subjective variability. Consequently, the aim of this paper is to analyze this issue and present a machine-learning based solution to address it. We demonstrate the utility of our ideas by considering the practical scenario of video broadcast transmissions with focus on digital terrestrial television (DTT) and proposing a no-reference objective video quality estimator for such application. We conducted meaningful verification studies on different video content (including video clips recorded from real DTT broadcast transmissions) in order to verify the performance of the proposed solution.
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  • Publication in Computers and Security Journal (September, 2015)

    The Montimage team published a journal paper entitled: "An Approach for Deploying and Monitoring Dynamic Security Policies". This approach presented has been developped in the context of the FP7 Inter-trust project in collaboration with collegues from the University of Malaga, Spain. Abstract : Security policies are enforced through the deployment of certain security functionalities within the applications. When the security policies dynamically change, the associated security functionalities currently deployed within the applications must be adapted at runtime in order to enforce the new security policies. Inter-trust is a framework for the specification, negotiation, deployment and dynamic adaptation of interoperable security policies, in the context of pervasive systems where devices are constantly exchanging critical information through the network. The dynamic adaptation of the security policies at runtime is addressed using Aspect-Oriented Programming (AOP) that allows enforcing security requirements by dynamically weaving security aspects into the applications. However, a mechanism to guarantee the correct adaptation of the functionality that enforces the changing security policies is needed. In this paper, we present an approach based on the combination of monitoring and detection techniques in order to maintain the correlation between the security policies and the associated functionality deployed using AOP, allowing the Inter-trust framework to automatically react when needed.
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