Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Near-duplicate keyframe retrieval is a critical task for video similarity measure, video threading and tracking. , instead of using expensive point-to-point matching on keypoints,  investigate the visual language models built on visual keywords to speed up the near-duplicate keyframe retrieval. The main idea is to estimate a visual language model on visual keywords for each keyframe and compare keyframes by the likelihood of their visual language models. Experiments on a subset of TRECVID-2004 video corpus show that visual language models built on visual keywords demonstrate promising performance for near-duplicate keyframe retrieval, which greatly speed up the retrieval speed although sacrifice a little performance compared to expensive point-to-point matching.
['Xiao Wu', 'Wan-Lei Zhao', 'Chong-Wah Ngo']
I am writing a research paper on a idea Efficient Near-Duplicate Keyframe Retrieval with Visual Language Models
[{"from": "human", "value": "I am writing a research paper on a idea Efficient Near-Duplicate Keyframe Retrieval with Visual Language Models"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Near-duplicate keyframe retrieval is a critical task for video similarity measure, video threading and tracking. , instead of using expensive point-to-point matching on keypoints,  investigate the visual language models built on visual keywords to speed up the near-duplicate keyframe retrieval. The main idea is to estimate a visual language model on visual keywords for each keyframe and compare keyframes by the likelihood of their visual language models. Experiments on a subset of TRECVID-2004 video corpus show that visual language models built on visual keywords demonstrate promising performance for near-duplicate keyframe retrieval, which greatly speed up the retrieval speed although sacrifice a little performance compared to expensive point-to-point matching."}]