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Suche nach „[N.] [Staelens]“ hat 7 Publikationen gefunden
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    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    G. van Wallendael, N. Staelens, E. Masala, Marcus Barkowsky

    Full-HD HEVC-Encoded Video Quality Assessment Database

    Ninth International Workshop on Video Processing and Quality Metrics (VPQM) [Feb 2015; Chandler, AZ, USA]

    2015

    DigitalAngewandte Informatik

    Zeitschriftenartikel

    Marcus Barkowsky, E. Masala, G. van Wallendael, K. Brunnström, N. Staelens, P. Le Callet

    Objective Video Quality Assessment ‐- Towards Large Scale Video Database Enhanced Model Development

    IEICE Transactions on Communications, vol. E-98b, no. 1, pp. 2-11

    2015

    Abstract anzeigen

    The current development of video quality assessment algorithms suffers from the lack of available video sequences for training, verification and validation to determine and enhance the algorithm's application scope. The Joint Effort Group of the Video Quality Experts Group (VQEG-JEG) is currently driving efforts towards the creation of large scale, reproducible, and easy to use databases. These databases will contain bitstreams of recent video encoders (H.264, H.265), packet loss impairment patterns and impaired bitstreams, pre-parsed bitstream information into files in XML syntax, and well-known objective video quality measurement outputs. The database is continuously updated and enlarged using reproducible processing chains. Currently, more than 70,000 sequences are available for statistical analysis of video quality measurement algorithms. New research questions are posed as the database is designed to verify and validate models on a very large scale, testing and validating various scopes of applications, while subjective assessment has to be limited to a comparably small subset of the database. Special focus is given on the principles guiding the database development, and some results are given to illustrate the practical usefulness of such a database with respect to the detailed new research questions.

    DigitalAngewandte Informatik

    Zeitschriftenartikel

    G. van Wallendael, N. Staelens, E. Masala, L. Janowski, K. Berger, Marcus Barkowsky

    Dreamed about training, verifying and validating your QoE model on a million videos?

    VQEG (Video Quality Expert Group) eLetter, vol. 1, no. 2, pp. 19-29

    2014

    DigitalAngewandte Informatik

    Zeitschriftenartikel

    Marcus Barkowsky, I. Sedano, K. Brunnström, M. Leszczuk, N. Staelens

    Hybrid video quality prediction: reviewing video quality measurement for widening application scope

    Multimedia Tools and Applications, vol. 74, pp. 323-343

    2014

    DOI: 10.1007/s11042-014-1978-2

    Abstract anzeigen

    A tremendous number of objective video quality measurement algorithms have been developed during the last two decades. Most of them either measure a very limited aspect of the perceived video quality or they measure broad ranges of quality with limited prediction accuracy. This paper lists several perceptual artifacts that may be computationally measured in an isolated algorithm and some of the modeling approaches that have been proposed to predict the resulting quality from those algorithms. These algorithms usually have a very limited application scope but have been verified carefully. The paper continues with a review of some standardized and well-known video quality measurement algorithms that are meant for a wide range of applications, thus have a larger scope. Their individual artifacts prediction accuracy is usually lower but some of them were validated to perform sufficiently well for standardization. Several difficulties and shortcomings in developing a general purpose model with high prediction performance are identified such as a common objective quality scale or the behavior of individual indicators when confronted with stimuli that are out of their prediction scope. The paper concludes with a systematic framework approach to tackle the development of a hybrid video quality measurement in a joint research collaboration.

    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Marcus Barkowsky, N. Staelens, L. Janowski

    Open collaboration on hybrid video quality models ‐ VQEG joint effort group hybrid

    2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP)

    2013

    Abstract anzeigen

    Several factors limit the advances on automatizing video quality measurement. Modelling the human visual system requires multi- and interdisciplinary efforts. A joint effort may bridge the large gap between the knowledge required in conducting a psychophysical experiment on isolated visual stimuli to engineering a universal model for video quality estimation under real-time constraints. The verification and validation requires input reaching from professional content production to innovative machine learning algorithms. Our paper aims at highlighting the complex interactions and the multitude of open questions as well as industrial requirements that led to the creation of the Joint Effort Group in the Video Quality Experts Group. The paper will zoom in on the first activity, the creation of a hybrid video quality model.

    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    Marcus Barkowsky, N. Staelens, L. Janowski, Y. Koudota, M. Leszczuk, M. Urvoy, P. Hummelbrunner, I. Sedano, K. Brunnström

    Subjective experiment dataset for joint development of hybrid video quality measurement algorithms

    QoEMCS 2012 ‐ Third Workshop on Quality of Experience for Multimedia Content Sharing, Berlin

    2012

    Abstract anzeigen

    The application area of an objective measurement algorithm for video quality is always limited by the scope of the video datasets that were used during its development and training. This is particularly true for measurements which rely solely on information available at the decoder side, for example hybrid models that analyze the bitstream and the decoded video. This paper proposes a framework which enables researchers to train, test and validate their algorithms on a large database of video sequences in such a way that the ‐ often limited ‐ scope of their development can be taken into consideration. A freely available video database for the development of hybrid models is described containing the network bitstreams, parsed information from these bitstreams for easy access, the decoded video sequences, and subjectively evaluated quality scores.

    DigitalAngewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    N. Staelens, I. Sedano, Marcus Barkowsky, L. Janowski, K. Brunnström, P. Le Callet

    Standardized Toolchain And Model Development For Video Quality Assessment ‐ The Mission Of The Joint Effort Group In Vqeg

    Proceedings of 2011 Third International Workshop on Quality of Multimedia Experience (QoMEX), Mechelen, Belgique

    2011

    Abstract anzeigen

    Since 1997, the Video Quality Experts Group (VQEG) has been active in the field of subjective and objective video quality assessment. The group has validated competitive quality metrics throughout several projects. Each of these projects requires mandatory actions such as creating a testplan and obtaining databases consisting of degraded video sequences with corresponding subjective quality ratings. Recently, VQEG started a new open initiative, the Joint Effort Group (JEG), for encouraging joint collaboration on all mandatory actions needed to validate video quality metrics. Within the JEG, effort is made to advance the field of both subjective and objective video quality measurement by providing proper software tools and subjective databases to the community. One of the subprojects of the JEG is the joint development of a hybrid H.264/AVC objective quality metric. In this paper, we introduce the JEG and provide an overview of the different ongoing activities within this newly started group.