2018
DOI: 10.22401/jnus.21.3.20
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A Comparison of Corner Feature Detectors for Video Abrupt Shot Detection

Abstract: Comparison of feature detectors and evaluation of their performance is very important in computer vision. A new algorithm is proposed in this paper to compare the performance of four corner feature detectors based on abrupt shot boundary detection. The proposed algorithm consists of two stages: feature vectors generation where corner detector for all video frames is computed to obtain the descriptor feature vectors, and features matching where the number of matching features between two successive frames is ca… Show more

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“…The features can be an edge, a corner, an endpoint, a line or a curve, etc. [26]. Unlike area-based matching (ABM), which matches grey values directly, featurebased methods (FBM) match extracted features such as points, edges, or regions [1].…”
Section: Feature-based Matching (Fbm)mentioning
confidence: 99%
“…The features can be an edge, a corner, an endpoint, a line or a curve, etc. [26]. Unlike area-based matching (ABM), which matches grey values directly, featurebased methods (FBM) match extracted features such as points, edges, or regions [1].…”
Section: Feature-based Matching (Fbm)mentioning
confidence: 99%