The 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.
2017 IEEE International Conference on Consumer Electronics (ICCE)
Publisher
IEEE
Version
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.