Abstract
High efficiency video coding (HEVC) standard also known as H.265 is an emerging international standard for video coding developed by joint collaborative team on video coding which is completed in January 2013. It provides around twice as much compression as H.264 for same the visual quality of the video. This bit rate reduction up to 50% comes with the increased complexity in encoder. The complexity is introduced mainly due to the additional angular modes for intraprediction, introduction of larger coding units and their flexible partitioning structure. HEVC encoders are expected to be much complex than H.264/AVC and will be an area of active research in future. This paper proposes a machine learning-based multilevel assistance to intra- and interprediction stage of video coding so as to reduce the computational complexity and avoid the huge wastage of computational efforts. Also brings the context awareness to improve the overall performance of the system.
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Pawar, C.S., Sawarkar, S.D. (2019). Multilevel ML Assistance to High Efficiency Video Coding. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 924. Springer, Singapore. https://doi.org/10.1007/978-981-13-6861-5_27
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DOI: https://doi.org/10.1007/978-981-13-6861-5_27
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