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found the issue & updated the archive.zip in the submission template |
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submission name:
submission_svtav1_gop240_binomial_unsharp
upload zipped
archive.ziparchive.zip
report.txt
=== Evaluation results over 600 samples ===
Average PoseNet Distortion: 0.08065791
Average SegNet Distortion: 0.00607000
Submission file size: 851,729 bytes
Original uncompressed size: 37,545,489 bytes
Compression Rate: 0.02268526
Final score: 100segnet_dist + √(10posenet_dist) + 25*rate = 2.07
does your submission require gpu for evaluation (inflation)?
no
did you include the compression script? and want it to be merged?
yes
additional comments
Pipeline
Compression:
Inflation:
Why GOP=240 beats GOP=180
Extensive grid search across GOP values (180, 200, 240, 270, 360, 480, 600, 1200) with v2.3.0 revealed GOP=240 as the Pareto optimum for this video:
GOP=240 achieves the best posenet score (0.0807 vs 0.0880 at GOP=180) due to SVT-AV1's random access prediction structure aligning better with this video's motion dynamics at the 12-second keyframe interval. The rate term also improves slightly due to more efficient inter-prediction across the longer GOP.
What did not work