Similarity Analysis of Video Sequences Using an Artificial Neural Network
Applied Intelligence
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We propose an approach for image similarity retrieval based on shape information. The heart of our methodology is a dynamic programming shape matching algorithm which detects similarities between shapes at various levels of shape detail (resolution). Our method provides for indexing of a data set, achieving up to three orders of magnitude speed-up over sequential scanning. We illustrate the application of our method to real two-dimensional static hand gesture data. We also demonstrate the superiority of our approach over traditional methods of shape matching and retrieval, such as Fourier descriptors, Geometric and Sequential moments.