Review On Using Region Of Interest For HEVC | Kokare
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Authors
- Parmeshwar Kokare
- Dr MasoodhuBanu. N.M
https://doi.org/10.14419/ijet.v7i2.4.11173 Received date: April 6, 2018
Accepted date: April 6, 2018
Published date: March 10, 2018
- HEVC, Intra prediction modes, Quadtree partition.
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Abstract
High efficiency video coding (HEVC) is the latest video compression standard. The coding efficiency of HEVC is 50% more than the preceding standard Advanced video coding (AVC). HEVC has gained this by introducing many advanced techniques such as adaptive block partitioning system known as quadtree, tiles for parallelization, improved entropy coding called Context-Adaptive Binary Arithmetic Coding (CABAC), 35 intra prediction modes (IPMs), etc. all these techniques have increased the complexity of encoding process due to which real time application of HEVC for video transfer is not yet convenient. The main objective of this paper is to provide a review of the recent developments in HEVC, particularly focusing on using region of interest (ROI) for reducing the encoding process time. Summaries of the different approaches to identify the ROI are discussed and a new method is explained.
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References
[1] Ohm J R, Sullivan G J, Schwarz H, Tan T K, Wiegand T, "Comparison of the coding efficiency of video coding standards—including high efficiency video coding (HEVC)." Circuits and Systems for Video Technology, IEEE Transactions on 22.12 (2012): 1669-1684.
[2] Gary J. Sullivan, Jens-Rainer Ohm, Woo-Jin Han and Thomas Wiegand, “Overview of the High Efficiency Video Coding (HEVC) Standardâ€, IEEE transactions on circuits and systems for video technology, vol. 22, no. 12, December 2012.
[3] II-Koo Kim, Junghye Min, Tammy Lee, Woo-Jin Han, and Jeong Hoon Park, “Block Partitioning Structure in the HEVC Standardâ€, IEEE transactions on circuits and systems for video technology, vol. 22, no. 12, december 2012.
[4] Thomas E. Slowe and Ivan Marsic, “Saliency-based Visual Representation for Compressionâ€, In Proc. IEEE Int’l. Conf on Image Processing (ICIP), 1997, vol.2, pp. 554 – 557.
[5] Yuan Gao, Pengyu Liu, Yueying Wu and Kebin Jia, “Quadtree Degeneration for HEVC,†IEEE Transactions on Multimedia 2016, Vol. 18, Issue: 12.
[6] LiyuanXiong, Wei Zhou, Xin Zhou, Guanwen Zhang and Ai Qing, “Saliency Aware Fast Intra Coding Algorithm for H.265/HEVCâ€, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).
[7] M. Meddeb, M. Cagnazzo, and B. Pesquet-Popescu, “Region-of- Interest Based Rate Control Scheme for High Efficiency Video Coding,†in Proceed. of IEEE Intern. Conf. Acoust., Speech and Sign.Proc., Florence, Italy, 2014.
[8] M. Meddeb, M. Cagnazzo, and B. Pesquet-Popescu, “Roi-based rate control using tiles for an H.265/HEVC encoded video stream over a lossy network,†in 2015 IEEE International Conference on Image Processing (ICIP), Sept 2015, pp. 1389–1393.
[9] SubarnaTripathi, “ROI based Parametric Video Coding Schemeâ€, A Thesis submitted for the award for the degree of Master of Science (Research), IIT Delhi.
[10] PiyaliGoswami, PalankiVenkataSrikanth, JasminRahiman, “Low Complexity In-Loop Skin Tone Detection for ROI Coding in the HEVC Encoderâ€, IEEE 2015.
[11] Wu Y, Liu P, Gao Y, Jia K (2016) “Medical Ultrasound Video Coding with H.265/H.265/HEVC Based on ROI Extractionâ€, PLoS ONE 11(11): e0165698. doi:10.1371/journal.pone.0165698
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How to Cite
Kokare, P., & MasoodhuBanu. N.M, D. (2018). Review on using Region of interest for HEVC. International Journal of Engineering and Technology, 7(2.4), 93-96. https://doi.org/10.14419/ijet.v7i2.4.11173 More Citation Formats- ACM
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