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iQIYI Technical Product Team
iQIYI Technical Product Team
Apr 10, 2020 · Big Data

Video Copyright Detection Solution Using SE-ResNeXt and Faiss in the 2019 CCF Big Data & Computational Intelligence Competition

The iQiyi team “都挺好” tackled the 2019 CCF Video Copyright Detection contest by extracting frame‑level features with SE‑ResNeXt, indexing them with Faiss, aligning temporally via a critical‑path method, and refining copy boundaries using SIFT re‑matching and a sliding‑window approach, ultimately achieving an F1 score of 0.9678 after three iterative stages of model selection, cascade detection, and feature fusion.

CCF competitionSE-ResNeXtVideo Copyright Detection
0 likes · 6 min read
Video Copyright Detection Solution Using SE-ResNeXt and Faiss in the 2019 CCF Big Data & Computational Intelligence Competition
iQIYI Technical Product Team
iQIYI Technical Product Team
Feb 21, 2020 · Artificial Intelligence

Top-1 Solution for the 2019 CCF Big Data & Computing Intelligence Competition: Video Copyright Detection

The Hengyang Data team won the 2019 CCF Big Data & Computing Intelligence video‑copyright detection contest by extracting VGG16‑based image features with Gaussian‑R‑MAC weighting, using a graph‑based NSG nearest‑neighbor search and a frame‑matching algorithm to locate infringing segments within three‑second precision, even under severe cropping and other transformations.

CCF competitionVGG16Video Copyright Detection
0 likes · 9 min read
Top-1 Solution for the 2019 CCF Big Data & Computing Intelligence Competition: Video Copyright Detection