Video coding algorithms attempt to minimize the significant commonality that exists within a video sequence.Each new video coding standard contains tools that can perform this task more efficiently compared to its predecessors. In this work, we form a coarse representation of the current frame by minimizing commonality within that frame while preserving important structural properties of the frame. The building blocks of this coarse representation are rectangular regions called cuboids, which are computationally simple and has a compact description. Then we propose to employ the coarse frame as an additional source for predictive coding of the current frame.Experimental results show an improvement in bit rate savings over a reference codec for HEVC, with minor increase in the codec computational complexity.
|Title of host publication||IEEE 22nd International Workshop on Multimedia Signal Processing|
|Place of Publication||United States|
|Number of pages||6|
|Publication status||Published - 2020|
|Event||IEEE 22nd International Workshop on Multimedia Signal Processing - Virtual workshop|
Duration: 21 Sep 2020 → 24 Sep 2020
|Conference||IEEE 22nd International Workshop on Multimedia Signal Processing|
|Period||21/09/20 → 24/09/20|
|Other||IEEE MMSP 2020 will be held on September 21–24, 2020. The workshop will be organised as a fully virtual event.|
MMSP 2020 was to be held in the vibrant city of Tampere, Finland. Tampere is known for its active science and business community, nice location on a scenic spot between two great lakes, and world-class services for its citizens and visitors. It is a lively city, which welcomes millions of congress goers every year. Tampere is easily reachable by air, train and car and offers excellent hosting for any budget. We welcome you to visit Tampere when the situation allows it!
The workshop is 22nd in the series, organized by the Multimedia Signal Processing Technical Committee of the IEEE Signal Processing Society (SPS), with the aim to bring together researchers and practitioners from academia and industry, passionate about multimedia signal processing, to share their knowledge, exchange ideas, explore future research directions and network.