A_Feature_Based_Complexity_Model_for_Decoder_Complexity_Optimized_HEVC_Video_Encoding.pdf (377.19 kB)
Download fileA Feature Based Complexity Model for Decoder Complexity Optimized HEVC Video Encoding
conference contribution
posted on 2022-04-29, 08:52 authored by Thanuja MallikarachchiThanuja Mallikarachchi, Dumidu S. Talagala, Hemantha Kodikara Arachchi, Anil FernandoThe complexity of the novel video compression algorithms is a major contributor for the increased demand of processing and energy resources for video playback in consumer electronic devices. Therefore, a decoder complexity reduction mechanism is proposed which constitutes a model that predicts the decoder's complexity requirements to decode the HEVC encoded bit streams with a 4.2% average prediction error and a decoder complexity optimized encoding algorithm, which reduces the decoding complexity by an average of 28.06% and 41.19% with a -1.91 dB and -2.46 dB impact to the BD-PSNR for the low delay P and random access configurations, respectively.
History
Presented at
Conference paper published in 2017 IEEE International Conference on Consumer Electronic (ICCE), available at: https://doi.org/10.1109/ICCE.2017.7889357.Published in
2017 IEEE International Conference on Consumer Electronics (ICCE)Publisher
IEEEVersion
- AM (Accepted Manuscript)
Citation
Mallikarachchi, T., Talagala, D.S., Fernando, A. and Kodikara Arachchi, H. (2017) 'A Feature Based Complexity Model for Decoder Complexity Optimized HEVC Video Encoding', IEEE International Conference on Consumer Electronic (ICCE), Las Vegas, USA, 8-10 January. DOI: 10.1109/ICCE.2017.7889357.Electronic ISSN
2158-4001ISBN
978-1-5090-5544-9Cardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met Authors
Thanuja MallikarachchiCopyright Holder
- © The Publisher
Publisher Rights Statement
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- en