"Gabbouj, M." - Selaus tekijän mukaan TUNICRIS-julkaisut

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    • The emerging MVC standards for 3D video services 

      Chen, Y.; Wang, Y-K.; Ugur, K.; Hannuksela, M. M.; Lainema, J.; Gabbouj, M. (2009)
      article
      Multiview video has gained a wide interest recently. The huge amount of data needed to be processed by multiview applications is a heavy burden for both transmission and decoding. The joint video team has recently devoted ...

    • An evolutionary feature synthesis approach for content-based audio retrieval 

      Mäkinen, T.; Kiranyaz, S.; Raitoharju, J.; Gabbouj, M. (2012)
      article
      A vast amount of audio features have been proposed in the literature to characterize the content of audio signals. In order to overcome specific problems related to the existing features (such as lack of discriminative ...

    • Hybrid modeling of intra-DCT coefficients for real-time video encoding 

      Li, J.; Gabbouj, M.; Takala, J. (2008)
      article
      The two-dimensional discrete cosine transform (2-D DCT) and its subsequent quantization are widely used in standard video encoders. However, since most DCT coefficients become zeros after quantization, a number of redundant ...

    • Implementing statistical multiplexing in DVB-H 

      Rezaei, M.; Bouazizi, I.; Gabbouj, M. (2009)
      article
      A novel technique for implementing statistical multiplexing (StatMux) of broadcast services over Digital Video Broadcasting for Handhelds (DVB-H) channels is proposed. DVB-H uses a time-sliced transmission scheme to reduce ...

    • MAMIQA: No-Reference Image Quality Assessment Based on Multiscale Attention Mechanism With Natural Scene Statistics 

      Yu, L.; Li, J.; Pakdaman, F.; Ling, M.; Gabbouj, M. (2023)
      article

    • One-Class Classification for Intrusion Detection on Vehicular Networks 

      Guidry, J.; Sohrab, F.; Gottumukkala, R.; Katragadda, S.; Gabbouj, M.
      IEEE Symposium on Computational Intelligence in Multi-Criteria Decision Making (IEEE, 2023)
      conferenceObject
      Controller Area Network bus systems within ve-hicular networks are not equipped with the tools necessary to ward off and protect themselves from modern cyber-security threats. Work has been done on using machine learning ...

    • OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics 

      Passalis, N.; Pedrazzi, S.; Babuska, R.; Burgard, W.; Dias, D.; Ferro, F.; Gabbouj, M.; Green, O.; Iosifidis, A.; Kayacan, E.; Kober, J.; Michel, O.; Nikolaidis, N.; Nousi, P.; Pieters, R.; Tzelepi, M.; Valada, A.; Tefas, A. (IEEE, 2022)
      conferenceObject
      Existing Deep Learning (DL) frameworks typically do not provide ready-to-use solutions for robotics, where very specific learning, reasoning, and embodiment problems exist. Their relatively steep learning curve and the ...

    • An ordinal co-occurrence matrix framework for texture retrieval 

      Partio, M.; Cramariuc, B.; Gabbouj, M. (2007)
      article
      We present a novel ordinal co-occurrence matrix framework for the purpose of content-based texture retrieval. Several particularizations of the framework will be derived and tested for retrieval purposes. Features obtained ...

    • Statistical time-frequency multiplexing of HD video traffic in DVB-T2 

      Rezaei, M.; Bouazizi, I.; Gabbouj, M. (2009)
      article
      Digital video broadcast-terrestrial 2 (DVB-T2) is the successor of DVB-T standard that allows a two-dimensional multiplexing of broadcast services in time and frequency domains. It introduces an optional time-frequency ...