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1. 动态抽帧策略 — detect_keyframe_timestamps() - 降采样到 320x240 逐帧灰度差异检测场景切换 - 最小间隔过滤（保留差异最大的候选帧） - 数量裁剪到 [MIN_KEYFRAMES=5, MAX_KEYFRAMES=30] - 长视频（>3分钟）每 30 秒分段保底 2. 滑动窗口时序匹配 — find_duplicate_segments() - 逐帧最佳匹配 → 连续 run 检测（允许 MAX_GAP=2 间隙） - 最少 MIN_CONSECUTIVE_MATCHES=5 帧才报告 - 返回 DuplicateSegment（query/target 时间范围 + 平均距离） 3. 查重算法升级 - 均值距离 → 中位数距离（抵抗异常值） - 新增帧匹配比例条件（match_ratio >= 0.7） - Bhattacharyya 系数替代余弦相似度 - pHash + 直方图加权融合（0.7/0.3） - 判定重复后附加 duplicate_segments 字段 4. 删除旧代码 - 移除 SHORT_VIDEO_CHUNK_SEC/LONG_VIDEO_CHUNK_SEC 固定间隔 - 移除 compute_chunk_interval() - 移除 _average_histogram_similarity() 5. 测试 - 新增 test_dedup_v2.py: 34 个测试 - 更新 test_dedup_engine.py/test_duplicate_rate.py/test_dedup_pure.py - 清理 test_fingerprint_chunks.py 中旧常量测试