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GSOC 2024 PROJECT

eSSIM: video filter implementation

Contributor
Andrea Mastroberti
Mentors
Thilo Borgmann, Cosmin Stejerean
Organization
FFmpegMedia
Program
GSoC 2024Completed

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Description from the program archive

eSSIM presents a solution to the limitations of the widely adopted SSIM metric in accurately assessing human visual perception and performance. This project aims to implement the eSSIM metric as a native video filter in FFmpeg, building upon the existing SSIM filter while incorporating improvements outlined in research papers and existing implementations. Key objectives include transitioning to rectangular windows for local statistics computation, employing integral images for efficiency gains and adopting a Self-Adaptive Scale Transform (SAST).

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  1. Addition of PU21 Transform Filter

    Rajiv HarlalkaMentored by Thilo Borgmann, Cosmin Stejerean

  2. Update SITI filter to match with latest specification.

    Poorva GaikarMentored by Thilo Borgmann, Frank Plowman, Cosmin Stejerean

  3. Vulkan VC-2 encoder

    Geo SterMentored by Niklas Haas, Lynne Null

  4. Performance enhancement of VVC decoder via x86 SIMD assembly

    Stone ChenMentored by Nuo Mi, Wu Jianhua

  5. VC-2 decoder Vulkan Implementation

    pmozilMentored by Niklas Haas, Lynne Null

  6. Enhancement of FFmpeg's libvmaf Filter

    Yigithan YigitMentored by Thilo Borgmann, Kyle Swanson

Data: Google Summer of Code public archive. This project in the official archive