Key-Frame ExtractionBased Improved Nearest Feature Line(NFL) Classification Algorithm
Li Zhao · Chinese Journal of Computers · 2000
Query by image or video examples is a convenient and effective way to search in video database. This paper proposes a new scheme to support such searches. The main contribution of the proposed scheme lies in considering both the feature extraction and distance computation in feature space together. The distance definition in this paper is a new metric named as Nearest Feature Line (NFL), and the feature to represent a video shot is key frames. So the break point based key frames extraction is combined with the NFL method to achieve a better performance. Experimental results have shown that the combined method achieves superior performance than the traditional NFL, and other classification methods such as Nearest Neighbor (NN) and Nearest Center (NC).