Key-frame Extraction and Shot Retrieval Using Nearest Feature Line (NFL)

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Abstract

Query by key frame or video example is a convenient and often effective way to search in video database. This paper proposes a new approach to support such searches. The main contribution of the proposed approach is the consideration of both feature extraction and distance computation as a whole process. With a video shot represented by key-frames corresponding to feature points in a feature space, a new metric is defined to measure the distance between a query image and a shot based on the concept of Nearest Feature Line (NFL). We propose to use the "breakpoints" of feature trajectory of a video shot as the key frames and use the lines passing through these points to represent the shot. When combined with the NFL method, it helps to achieve a better performance, as evidenced by experiments.

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Zhao, L., Qi, W., Li, S. Z., Yang, S. Q., & Zhang, H. J. (2000). Key-frame Extraction and Shot Retrieval Using Nearest Feature Line (NFL). In MULTIMEDIA 2000 - Proceedings of the 2000 ACM Workshops on Multimedia (pp. 217–220). Association for Computing Machinery, Inc. https://doi.org/10.1145/357744.357942

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