libsdl-org/aom
Mar 2025 – Jul 2025
4 Months active
Languages Used
CC++
Technical Skills
C ProgrammingLow Complexity DecodingLow Latency DecodingPerformance OptimizationVideo EncodingAV1 Codec
Mudassir Galagnath
PROFILE
Mudassir Galagnath
Mudassir Galaganath enhanced the libsdl-org/aom repository by developing and optimizing low-complexity AV1 decoding features focused on speed, robustness, and quality across diverse video resolutions and orientations. Using C and C++, Mudassir introduced adaptive filtering, global motion speed controls, and targeted loop restoration optimizations to improve decode throughput and reduce CPU usage, particularly for constrained and vertical video scenarios. He expanded test coverage with new unit tests for encoder-decoder compliance and PSNR validation, and addressed artifact risks through careful feature gating and bug fixes. The work demonstrated strong attention to code hygiene, maintainability, and performance validation throughout the development cycle.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
6
Lines of code
457
Activity Months4
Your Network
37 peopleSame Organization
@ittiam.com4
Work History
July 2025
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for libsdl-org/aom: Focused on improving vertical video handling and test coverage in the aom library. Implemented vertical video speed feature optimization and quality tuning across 608p-720p, addressing artifact-prone behavior, expanding low complexity decode speed features to support vertical 720p, and refining resolution checks to ensure correct feature application. Added unit tests for lc-dec mode to bolster encoder-decoder reliability and PSNR validation, enhancing regression protection. Fixed a critical bug related to artifact-prone skip_loop_filter_using_filt_error at 608p, improving visual quality and playback stability. Overall, these changes reduce artifact risk, increase vertical video quality, expand supported scenarios, and strengthen QA with automated tests.
4 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for libsdl-org/aom: Focused on improving vertical video handling and test coverage in the aom library. Implemented vertical video speed feature optimization and quality tuning across 608p-720p, addressing artifact-prone behavior, expanding low complexity decode speed features to support vertical 720p, and refining resolution checks to ensure correct feature application. Added unit tests for lc-dec mode to bolster encoder-decoder reliability and PSNR validation, enhancing regression protection. Fixed a critical bug related to artifact-prone skip_loop_filter_using_filt_error at 608p, improving visual quality and playback stability. Overall, these changes reduce artifact risk, increase vertical video quality, expand supported scenarios, and strengthen QA with automated tests.
July 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 — libsdl-org/aom: Delivered AV1 decoding speed optimizations with targeted tuning and a new speed feature. This work improves decoder throughput and reduces CPU usage for AV1 workloads, delivering business value to downstream users and products relying on the aom library.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 — libsdl-org/aom: Delivered AV1 decoding speed optimizations with targeted tuning and a new speed feature. This work improves decoder throughput and reduces CPU usage for AV1 workloads, delivering business value to downstream users and products relying on the aom library.
April 2025
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for libsdl-org/aom. Delivered performance-focused enhancements to motion handling and decoding paths, targeting high-resolution streams. Implemented two key features: a global motion speed optimization (gm_erroradv_tr_level) and low complexity decode mode optimizations. These changes reduce unnecessary work on 608p+ streams and streamline the loop restoration path, improving playback smoothness, frame rates, and power efficiency. Committed code changes include parameter additions, refactoring for readability, and robustness improvements across orientation checks. Result: faster, more efficient decoding with better quality under diverse playback conditions.
3 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for libsdl-org/aom. Delivered performance-focused enhancements to motion handling and decoding paths, targeting high-resolution streams. Implemented two key features: a global motion speed optimization (gm_erroradv_tr_level) and low complexity decode mode optimizations. These changes reduce unnecessary work on 608p+ streams and streamline the loop restoration path, improving playback smoothness, frame rates, and power efficiency. Committed code changes include parameter additions, refactoring for readability, and robustness improvements across orientation checks. Result: faster, more efficient decoding with better quality under diverse playback conditions.
April 2025
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for libsdl-org/aom. Focused on performance-oriented enhancements to the low-complexity decode path, delivering a set of features that improve speed and robustness in constrained environments. Implemented adaptive_luma_filter_skip, filter-error-based skip of the loop filter, and adjusted resolution checks to support 608p. These changes drive faster decode times for low-power devices and reduce edge-case decode artifacts, contributing to better user experience and energy efficiency. The work maintained strong code hygiene with clear commit messages and prepared for comprehensive performance validation.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for libsdl-org/aom. Focused on performance-oriented enhancements to the low-complexity decode path, delivering a set of features that improve speed and robustness in constrained environments. Implemented adaptive_luma_filter_skip, filter-error-based skip of the loop filter, and adjusted resolution checks to support 608p. These changes drive faster decode times for low-power devices and reduce edge-case decode artifacts, contributing to better user experience and energy efficiency. The work maintained strong code hygiene with clear commit messages and prepared for comprehensive performance validation.
Activity
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Quality Metrics
Correctness83.4%
Maintainability81.6%
Architecture80.0%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++
Technical Skills
AV1AV1 CodecC ProgrammingC++Low Complexity DecodeLow Complexity DecodingLow Latency DecodingPerformance OptimizationTestingVideo Encoding
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