AI application in video: spiral optimizer based fast intra mode selection in HEVC

Tariq, Junaid; Javed, Mubashar; Rahman, Hameedur; Armghan, Ammar; Ijaz, Amir

doi:10.1007/s11042-024-18268-y

Multimed Tools Appl

2024

DOI: 10.1007/s11042-024-18268-y

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AI application in video: spiral optimizer based fast intra mode selection in HEVC

Junaid Tariq,

Mubashar Javed,

Hameedur Rahman

et al.

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2024

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Cited by 2 publications

References 29 publications

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Fast rough mode decision algorithm and hardware architecture design for AV1 encoder

Chen,

Huang,

Tao

et al. 2024

J Real-Time Image Proc

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Fast rough mode decision algorithm and hardware architecture design for AV1 encoder

Chen,

Huang,

Tao

et al. 2024

J Real-Time Image Proc

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

Nair,

Nair

2024

IEEE Access

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High Efficiency Video Coding (HEVC) is designed to deliver a video communication with better quality at reduced bit rate. For intra coding, HEVC employs an effective hierarchical quad tree partitioning and an exhaustive optimal mode search which increases the time complexity. Aiming this issue, we propose a Support Vector Machine (SVM)-based method to effectively predict the intra mode. Compared to the standard HEVC encoder HM-15.0, the proposed method could reduce 57.6 % of encoding time at a bit-rate penalty of 3.3% at an average PSNR decline of only around 0.09 dB.

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AI application in video: spiral optimizer based fast intra mode selection in HEVC

Cited by 2 publications

References 29 publications

Fast rough mode decision algorithm and hardware architecture design for AV1 encoder

Fast rough mode decision algorithm and hardware architecture design for AV1 encoder

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

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