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Smart Multimedia

Overview of attention for book
Cover of 'Smart Multimedia'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Tactile Facial Action Units Toward Enriching Social Interactions for Individuals Who Are Blind
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    Chapter 2 Affectional Ontology and Multimedia Dataset for Sentiment Analysis
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    Chapter 3 Predicting Student Seating Distribution Based on Social Affinity
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    Chapter 4 Spatio-Temporal Eye Gaze Data Analysis to Better Understand Team Cognition
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    Chapter 5 Person-Centric Multimedia: How Research Inspirations from Designing Solutions for Individual Users Benefits the Broader Population
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    Chapter 6 Deep Reinforcement Learning Methods for Navigational Aids
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    Chapter 7 A Pneumatic Haptic Probe Replica for Tele-Robotized Ultrasonography
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    Chapter 8 Haptic Vision: Augmenting Non-visual Travel and Accessing Environmental Information at a Distance
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    Chapter 9 Robotic Catheter for Endovascular Surgery Using 3D Magnetic Guidance
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    Chapter 10 Haptic Training in a Virtual Environment to Train Cognitive Functions of Medical Students: Work in Progress
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    Chapter 11 Towards Maritime Videosurveillance Using 4K Videos
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    Chapter 12 A Heterogeneous Image Fusion Algorithm Based on LLC Coding
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    Chapter 13 Towards the Identification of Parkinson’s Disease Using only T1 MR Images
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    Chapter 14 Atlas-Free Method of Periventricular Hemorrhage Detection from Preterm Infants’ T1 MR Images
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    Chapter 15 When Smart Signal Processing Meets Smart Imaging
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    Chapter 16 A Regularized Nonnegative Third Order Tensor decomposition Using a Primal-Dual Projected Gradient Algorithm: Application to 3D Fluorescence Spectroscopy
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    Chapter 17 Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image
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    Chapter 18 A Flexible Method for Time-of-Flight Camera Calibration Using Random Forest
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    Chapter 19 A Survey on Vision-Based Hand Gesture Recognition
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    Chapter 20 Research on Path Planning Method of an Unmanned Vehicle in Urban Road Environments
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    Chapter 21 Detecting Attention in Pivotal Response Treatment Video Probes
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    Chapter 22 Person Authentication by Air-Writing Using 3D Sensor and Time Order Stroke Context
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    Chapter 23 Synthetic Vision Assisted Real-Time Runway Detection for Infrared Aerial Images
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    Chapter 24 Detection-Based Online Multi-target Tracking via Adaptive Subspace Learning
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    Chapter 25 A Deep Learning Approach to Predict Crowd Behavior Based on Emotion
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    Chapter 26 Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter
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    Chapter 27 Learning 3DMM Deformation Coefficients for Rendering Realistic Expression Images
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    Chapter 28 Semi-supervised Adversarial Image-to-Image Translation
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    Chapter 29 A Step Beyond Generative Multi-adversarial Networks
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    Chapter 30 Adversarial Training for Dual-Stage Image Denoising Enhanced with Feature Matching
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    Chapter 31 IVUS-Net: An Intravascular Ultrasound Segmentation Network
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    Chapter 32 A Simplified Active Calibration Algorithm for Focal Length Estimation
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    Chapter 33 Automatic Computation of Fundamental Matrix Based on Voting
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    Chapter 34 Adapting Texture Compression to Perceptual Quality Metric for Textured 3D Models
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    Chapter 35 A Novel Data Clustering Method Based on Smooth Non-negative Matrix Factorization
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    Chapter 36 Subjective Quality of Spatially Asymmetric Omnidirectional Stereoscopic Video for Streaming Adaptation
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    Chapter 37 A Model-Based Approach for Arrhythmia Detection and Classification
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    Chapter 38 EREL Selection Using Morphological Relation
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    Chapter 39 EREL-Net: A Remedy for Industrial Bottle Defect Detection
Attention for Chapter 17: Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image
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Mentioned by

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Chapter title
Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image
Chapter number 17
Book title
Smart Multimedia
Published in
arXiv, August 2018
DOI 10.1007/978-3-030-04375-9_17
Book ISBNs
978-3-03-004374-2, 978-3-03-004375-9
Authors

Subhayan Mukherjee, Guan-Ming Su, Irene Cheng, Mukherjee, Subhayan, Su, Guan-Ming, Cheng, Irene

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Ph. D. Student 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 1 20%
Engineering 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2020.
All research outputs
#15,554,476
of 23,117,738 outputs
Outputs from arXiv
#378,561
of 950,900 outputs
Outputs of similar age
#211,465
of 334,198 outputs
Outputs of similar age from arXiv
#12,208
of 23,469 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950,900 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,198 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23,469 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.