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Computer Vision, Pattern Recognition, Image Processing, and Graphics

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Cover of 'Computer Vision, Pattern Recognition, Image Processing, and Graphics'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Visual Odometry Based Omni-directional Hyperlapse
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    Chapter 2 Classification of Human Actions Using 3-D Convolutional Neural Networks: A Hierarchical Approach
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    Chapter 3 SmartTennisTV: Automatic Indexing of Tennis Videos
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    Chapter 4 Flow-Free Video Object Segmentation
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    Chapter 5 SSIM-Based Joint Bit-Allocation Using Frame Model Parameters for 3D Video Coding
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    Chapter 6 Trajectory Based Integrated Features for Action Classification from Depth Data
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    Chapter 7 Anomaly from Motion: Unsupervised Extraction of Visual Irregularity via Motion Prediction
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    Chapter 8 Recognizing Human Activities in Videos Using Improved Dense Trajectories over LSTM
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    Chapter 9 Saliency Driven Video Motion Magnification
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    Chapter 10 Detecting Missed and Anomalous Action Segments Using Approximate String Matching Algorithm
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    Chapter 11 Parametric Reshaping of Humans in Videos Incorporating Motion Retargeting
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    Chapter 12 Enhanced Aggregated Channel Features Detector for Pedestrian Detection Using Parameter Optimisation and Deep Features
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    Chapter 13 Unsupervised Segmentation of Speech Signals Using Kernel-Gram Matrices
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    Chapter 14 Design of Biorthogonal Wavelet Filters of DTCWT Using Factorization of Halfband Polynomials
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    Chapter 15 Single Noisy Image Super Resolution by Minimizing Nuclear Norm in Virtual Sparse Domain
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    Chapter 16 Near Real-Time Correction of Specular Reflections in Flash Images Using No-Flash Image Prior
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    Chapter 17 A Method for Detecting JPEG Anti-forensics
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    Chapter 18 An End-to-End Deep Learning Framework for Super-Resolution Based Inpainting
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    Chapter 19 Saliency Map Improvement Using Edge-Aware Filtering
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    Chapter 20 A Generative Adversarial Network for Tone Mapping HDR Images
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    Chapter 21 Efficient Clustering-Based Noise Covariance Estimation for Maximum Noise Fraction
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    Chapter 22 GMM Based Single Depth Image Super-Resolution
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    Chapter 23 Patch Similarity in Transform Domain for Intensity/Range Image Denoising with Edge Preservation
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    Chapter 24 Multi-modal Image Analysis for Plant Stress Phenotyping
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    Chapter 25 Source Classification Using Document Images from Smartphones and Flatbed Scanners
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    Chapter 26 Homomorphic Incremental Directional Averaging for Noise Suppression in SAR Images
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    Chapter 27 An EEG-Based Image Annotation System
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    Chapter 28 Multimodal Registration of Retinal Images
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    Chapter 29 Dynamic Class Learning Approach for Smart CBIR
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    Chapter 30 Exploring Memory and Time Efficient Neural Networks for Image Captioning
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    Chapter 31 Dataset Augmentation with Synthetic Images Improves Semantic Segmentation
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    Chapter 32 Deep Neural Network for Foreground Object Segmentation: An Unsupervised Approach
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    Chapter 33 Document Image Segmentation Using Deep Features
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    Chapter 34 MKL Based Local Label Diffusion for Automatic Image Annotation
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    Chapter 35 Semantic Multinomial Representation for Scene Images Using CNN-Based Pseudo-concepts and Concept Neural Network
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    Chapter 36 Automatic Synthesis of Boolean Expression and Error Detection from Logic Circuit Sketches
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    Chapter 37 Comparison of Edge Detection Algorithms in the Framework of Despeckling Carotid Ultrasound Images Based on Bayesian Estimation Approach
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    Chapter 38 A Two Stage Contour Evolution Approach for the Measurement of Choroid Thickness in EDI-OCT Images
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    Chapter 39 Improved Low Resolution Heterogeneous Face Recognition Using Re-ranking
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    Chapter 40 Description Based Person Identification: Use of Clothes Color and Type
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    Chapter 41 Towards Accurate Handwritten Word Recognition for Hindi and Bangla
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    Chapter 42 NrityaGuru : A Dance Tutoring System for Bharatanatyam Using Kinect
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    Chapter 43 Automated Translation of Human Postures from Kinect Data to Labanotation
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    Chapter 44 Emotion Based Categorization of Music Using Low Level Features and Agglomerative Clustering
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    Chapter 45 Transfer Learning by Finetuning Pretrained CNNs Entirely with Synthetic Images
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    Chapter 46 Detection of Coal Seam Fires in Summer Seasons from Landsat 8 OLI/TIRS in Dhanbad
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    Chapter 47 Classification of Indian Monuments into Architectural Styles
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    Chapter 48 Predicting Word from Brain Activity Using Joint Sparse Embedding with Domain Adaptation
Attention for Chapter 42: NrityaGuru : A Dance Tutoring System for Bharatanatyam Using Kinect
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Chapter title
NrityaGuru : A Dance Tutoring System for Bharatanatyam Using Kinect
Chapter number 42
Book title
Computer Vision, Pattern Recognition, Image Processing, and Graphics
Published by
Springer, Singapore, April 2018
DOI 10.1007/978-981-13-0020-2_42
Book ISBNs
978-9-81-130019-6, 978-9-81-130020-2

Achyuta Aich, Tanwi Mallick, Himadri B. G. S. Bhuyan, Partha Pratim Das, Arun Kumar Majumdar

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Student > Master 1 11%
Professor 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Engineering 1 11%
Unknown 2 22%