Key-frame extraction and shot retrieval using nearest feature line (NFL)

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. Keywords Content-based retrieval, nearest feature line (NFL), key-frame extraction, color histogram.

• Type: Conference
• Year: 2000
• Where: MM
• Authors: Li Zhao, Wei Qi, Stan Z. Li, Shi-Qiang Yang, HongJiang Zhang
• Keywords: Key Frames, MM 2000, Multimedia, Nearest Feature Line, Video Shot