新的AllocEmbed框架通过自适应帧预算优化视频检索

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

提出了一种名为AllocEmbed的新框架，通过自适应地为更多帧分配视觉输入预算来改进视频检索系统。该方法使用一个轻量级分配器，根据低成本预览为帧分配分辨率，在保留重要帧细节的同时降低其他部分的成本。该框架与现有检索系统集成，无需更改嵌入模型或下游管道，实验表明其检索性能优于预算匹配方法。 AI

影响这项研究通过优化视觉信息的处理方式，有望带来更高效、更有效的视频检索系统。

排序理由关于视频嵌入新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Song Jin, Zhongtao Jiang, Chenglei Shen, Huanxuan Liao, Haozhe Chi, Zhiwei Wang, Kun Xu, Yong Liu · 2026-09-03 04:00

嵌入前分配：视频嵌入的自适应视觉输入分配

arXiv:2609.01778v1 Announce Type: new Abstract: Large-scale video retrieval requires embedding models to encode long and diverse videos under tight visual-input and inference budgets. Existing methods typically sample a small, fixed set of frames at their original resolution, lim…