KSVM-Based Fast Intra Mode Prediction in HEVC Using Statistical Features and Sparse Autoencoder-Reference-Cited by-同舟云学术

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KSVM-Based Fast Intra Mode Prediction in HEVC Using Statistical Features and Sparse Autoencoder

Published:2024 Issue: Volume:12 Page:48846-48852
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nair Preethi S.¹^ORCID,Nair Madhu S.²^ORCID

Affiliation:

1. Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, Kerala, India

2. Department of Computer Science, Artificial Intelligence & Computer Vision Lab, Cochin University of Science and Technology, Kochi, Kerala, India

Funder

Kerala State Council for Science, Technology and Environment

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10480436.pdf?arnumber=10480436

Reference28 articles.

1. Special Section on the Joint Call for Proposals on High Efficiency Video Coding (HEVC) Standardization

2. Texture grouping and statistical optimization based mode prediction decision algorithm for fast HEVC intra coding;Wang,2021

3. Light weight model for intra mode selection in HEVC

4. Fast Intra Mode Selection in HEVC Using Statistical Model

5. A machine learning approach for fast mode decision in HEVC intra prediction based on statistical features

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1. Complexity-Efficiency Control With ANN-Based CTU Partitioning for Video Encoding;IEEE Access;2024

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