Improving music genre classification using automatically induced harmony rules [PDF]
, 2010 We present a new genre classification framework using both low-level signal-based features and high-level harmony features. A state-of-the-art statistical genre classifier based on timbral features is extended using a first-order random forest containing
Anglade, A. +3 more
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Compact and low-complexity binary feature descriptor and Fisher Vectors for video analytics [PDF]
, 2019 In this paper, we propose a compact and low- complexity binary feature descriptor for video analytics. Our binary descriptor encodes the motion information of a spatio- temporal support region into a low-dimensional binary string. The descriptor is based
Leyva, Roberto +2 more
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Shape descriptors for mode-shape recognition and model updating [PDF]
, 2009 The most widely used method for comparing mode shapes from finite elements and experimental measurements is the Modal Assurance Criterion (MAC), which returns a single numerical value and carries no explicit information on shape features. New techniques,
Mares, C, Mottershead, JE, Wang, W
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HBST: A Hamming Distance embedding Binary Search Tree for Visual Place Recognition [PDF]
, 2018 Reliable and efficient Visual Place Recognition is a major building block of modern SLAM systems. Leveraging on our prior work, in this paper we present a Hamming Distance embedding Binary Search Tree (HBST) approach for binary Descriptor Matching and ...
Grisetti, Giorgio, Schlegel, Dominik
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Monte Carlo convex hull model for classification of traditional Chinese paintings [PDF]
, 2015 While artists demonstrate their individual styles through paintings and drawings, how to describe such artistic styles well selected visual features towards computerized analysis of the arts remains to be a challenging research problem. In this paper, we
Jin, Jesse S. +4 more
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Action Classification with Locality-constrained Linear Coding [PDF]
, 2014 We propose an action classification algorithm which uses Locality-constrained Linear Coding (LLC) to capture discriminative information of human body variations in each spatiotemporal subsequence of a video sequence. Our proposed method divides the input
Huynh, Du +3 more
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Ekstraksi Fitur Berdasarkan Deskriptor Bentuk Dan Titik Salien Untuk Klasifikasi Citra Ikan Tuna [PDF]
, 2016 . The manual classification of fish causes problems on accuracy and execution time. In the image of tuna, beside the shape feature, local features is also necessary to differentiate the types of fish especially which have a similar shape.
Arifin, A. Z. (Agus) +2 more
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Currency recognition using a smartphone: Comparison between color SIFT and gray scale SIFT algorithms [PDF]
, 2017 Banknote recognition means classifying the currency (coin and paper) to the correct class. In this paper, we developed a dataset for Jordanian currency.
Abu Doush, Iyad, AL-Btoush, Sahar
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Learning Spread-out Local Feature Descriptors
, 2017 We propose a simple, yet powerful regularization technique that can be used to significantly improve both the pairwise and triplet losses in learning local feature descriptors.
Chang, Shih-Fu +3 more
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Design of Video Retrieval System Using MPEG-7 Descriptors [PDF]
, 2012 The paper proposes a content-based video retrieval system designed using MPEG-7 (multimedia content description interface), which provides a standard description for a video. The system consists of three parts: shot boundary detection, feature extraction
Liang, Bin, Liu, Xiang, Xiao, Wenbing
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