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Suche nach „[I.] [Sedano]“ hat 4 Publikationen gefunden
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    DigitalF: Angewandte 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.

    DigitalF: Angewandte 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.

    DigitalF: Angewandte Informatik

    Beitrag (Sammelband oder Tagungsband)

    K. Brunnström, I. Sedano, K. Wang, Marcus Barkowsky, M. Kihl, P. Le Callet, Patrick, M. Sjöström, A. Aurelius

    2D No-Reference Video Quality Model Development and 3D Video Transmission Quality

    Sixth International Workshop on Video Processing and Quality Metrics for Consumer Electronics - VPQM 2012 (Jan 2012; Scottsdale, AZ, USA)

    2012

    Abstract anzeigen

    This presentation will target two different topics in video quality assessment. First, we discuss 2D no-reference video quality model development. Further, we discuss how to find suitable quality for 3D video transmission. No-reference metrics are the only practical option for monitoring of 2D video quality in live networks. In order to decrease the development time, it might be possible to use full-reference metrics for this purpose. In this work, we have evaluated six full-reference objective metrics in three different databases. We show statistically that VQM performs the best. Further, we use these results to develop a lightweight no-reference model. We have also investigated users' experience of stereoscopic 3D video quality by performing the rating of two subjective assessment datasets, targeting in one dataset efficient transmission in the transmission error free case and error concealment in the other. Among other results, it was shown that, based on the same level of quality of experience, spatial down-sampling may lead to better bitrate efficiency while temporal down-sampling will be worse. When network impairments occur, traditional error 2D concealment methods need to be reinvestigated as they were outperformed switching to 2D presentation.

    DigitalF: Angewandte 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.