Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Extracting a small number of key frames that can abstract the content of video is very important for efficient browsing and retrieval in video databases. , the key frame extraction problem is considered from a set-theoretic point of view, and systematic algorithms are derived to find a compact set of key frames that can represent a video segment for a given degree of fidelity. The proposed extraction algorithms can be hierarchically applied to obtain a tree-structured key frame hierarchy that is a multilevel abstract of the video. The key frame hierarchy enables an efficient content-based retrieval by using the depth-first search scheme with pruning., Intensive experiments on a variety of video sequences are presented to demonstrate the improved performance of the proposed algorithms over the existing approaches.
['Hyun Sung Chang', 'Sanghoon Sull', 'Sang Uk Lee']
I am writing a research paper on a idea Efficient video indexing scheme for content-based retrieval
[{"from": "human", "value": "I am writing a research paper on a idea Efficient video indexing scheme for content-based retrieval"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Extracting a small number of key frames that can abstract the content of video is very important for efficient browsing and retrieval in video databases. , the key frame extraction problem is considered from a set-theoretic point of view, and systematic algorithms are derived to find a compact set of key frames that can represent a video segment for a given degree of fidelity. The proposed extraction algorithms can be hierarchically applied to obtain a tree-structured key frame hierarchy that is a multilevel abstract of the video. The key frame hierarchy enables an efficient content-based retrieval by using the depth-first search scheme with pruning., Intensive experiments on a variety of video sequences are presented to demonstrate the improved performance of the proposed algorithms over the existing approaches."}]