Simplified depth intra coding for 3D-HEVC based on gray-level co-occurrence matrix

التفاصيل البيبلوغرافية
العنوان: Simplified depth intra coding for 3D-HEVC based on gray-level co-occurrence matrix
المؤلفون: Yaowu Chen, Lilin Guo, Xiang Tian
المصدر: 2016 IEEE International Conference on Signal and Image Processing (ICSIP).
بيانات النشر: IEEE, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Computer science, 020208 electrical & electronic engineering, Real-time computing, 02 engineering and technology, Solid modeling, Coding tree unit, Co-occurrence matrix, Algorithmic efficiency, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Algorithm design, Encoder, Algorithm, Context-adaptive binary arithmetic coding, Coding (social sciences)
الوصف: The three-dimensional high efficiency video coding (3D-HEVC) is an emerging standard to compress multi-view video plus depth (MVD) data. In 3D-HEVC, many new approaches are developed for depth intra coding. In addition to the 35 intra prediction modes inherited from HEVC, depth modeling modes (DMMs) are also employed to better preserve the object edges, which improve the coding efficiency significantly, but at the same time put heavy computational burden on the encoder. To reduce the complexity, we propose a fast depth intra coding scheme using gray-level co-occurrence matrix (GLCM) to classify the coding units (CUs) into different types, and avoid checking some unnecessary modes for certain CUs. Experimental results show that the proposed algorithm can achieve on average 19.16% time reduction, with a negligible Bjontegaard Delta bitrate (BD-rate) increase of 0.12% on synthesized views, compared with the original 3D-HEVC test model HTM-15.0.
DOI: 10.1109/siprocess.2016.7888278
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::e44223772dad40da4e7c507dee494778
https://doi.org/10.1109/siprocess.2016.7888278
رقم الانضمام: edsair.doi...........e44223772dad40da4e7c507dee494778
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.1109/siprocess.2016.7888278