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Computer Vision – ECCV 2012

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Cover of 'Computer Vision – ECCV 2012'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Tracking Feature Points in Uncalibrated Images with Radial Distortion
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    Chapter 2 Divergence-Free Motion Estimation
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    Chapter 3 Visual Tracking via Adaptive Tracker Selection with Multiple Features
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    Chapter 4 Image Enhancement Using Calibrated Lens Simulations
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    Chapter 5 Color Constancy, Intrinsic Images, and Shape Estimation
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    Chapter 6 A Fast Illumination and Deformation Insensitive Image Comparison Algorithm Using Wavelet-Based Geodesics
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    Chapter 7 Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
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    Chapter 8 Background Subtraction with Dirichlet Processes
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    Chapter 9 Mobile Product Image Search by Automatic Query Object Extraction
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    Chapter 10 Analyzing the Subspace Structure of Related Images: Concurrent Segmentation of Image Sets.
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    Chapter 11 Artistic Image Classification: An Analysis on the PRINTART Database
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    Chapter 12 Detecting Actions, Poses, and Objects with Relational Phraselets
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    Chapter 13 Action Recognition with Exemplar Based 2.5D Graph Matching
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    Chapter 14 Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition
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    Chapter 15 Activity Forecasting
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    Chapter 16 A Unified Framework for Multi-target Tracking and Collective Activity Recognition
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    Chapter 17 Camera Pose Estimation Using First-Order Curve Differential Geometry
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    Chapter 18 Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction
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    Chapter 19 Learning Spatially-Smooth Mappings in Non-Rigid Structure from Motion.
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    Chapter 20 In Defence of RANSAC for Outlier Rejection in Deformable Registration
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    Chapter 21 A Tensor Voting Approach for Multi-view 3D Scene Flow Estimation and Refinement
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    Chapter 22 Two-View Underwater Structure and Motion for Cameras under Flat Refractive Interfaces
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    Chapter 23 Reading Ancient Coins: Automatically Identifying Denarii Using Obverse Legend Seeded Retrieval
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    Chapter 24 Robust and Practical Face Recognition via Structured Sparsity
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    Chapter 25 Recognizing Materials from Virtual Examples
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    Chapter 26 Scene Recognition on the Semantic Manifold
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    Chapter 27 Unsupervised Temporal Commonality Discovery
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    Chapter 28 Finding People Using Scale, Rotation and Articulation Invariant Matching
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    Chapter 29 Measuring Image Distances via Embedding in a Semantic Manifold
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    Chapter 30 Efficient Point-to-Subspace Query in ℓ1 with Application to Robust Face Recognition
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    Chapter 31 Recognizing Complex Events Using Large Margin Joint Low-Level Event Model
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    Chapter 32 Multi-component Models for Object Detection
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    Chapter 33 Discriminative Decorrelation for Clustering and Classification
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    Chapter 34 Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification
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    Chapter 35 Subspace Learning in Krein Spaces: Complete Kernel Fisher Discriminant Analysis with Indefinite Kernels
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    Chapter 36 A Novel Material-Aware Feature Descriptor for Volumetric Image Registration in Diffusion Tensor Space
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    Chapter 37 Efficient Closed-Form Solution to Generalized Boundary Detection
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    Chapter 38 Attribute Learning for Understanding Unstructured Social Activity
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    Chapter 39 Statistical Inference of Motion in the Invisible
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    Chapter 40 Going with the Flow: Pedestrian Efficiency in Crowded Scenes
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    Chapter 41 Reconstructing 3D Human Pose from 2D Image Landmarks
  43. Altmetric Badge
    Chapter 42 Computer Vision – ECCV 2012
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    Chapter 43 TreeCANN - k-d Tree Coherence Approximate Nearest Neighbor Algorithm
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    Chapter 44 Robust Regression
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    Chapter 45 Domain Adaptive Dictionary Learning
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    Chapter 46 A robust and efficient doubly regularized metric learning approach
  48. Altmetric Badge
    Chapter 47 A Discriminative Data-Dependent Mixture-Model Approach for Multiple Instance Learning in Image Classification
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    Chapter 48 No Bias Left behind: Covariate Shift Adaptation for Discriminative 3D Pose Estimation
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    Chapter 49 Labeling Images by Integrating Sparse Multiple Distance Learning and Semantic Context Modeling
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    Chapter 50 Exploiting the Circulant Structure of Tracking-by-Detection with Kernels
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    Chapter 51 Online Spatio-temporal Structural Context Learning for Visual Tracking
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    Chapter 52 Automatic Tracking of a Large Number of Moving Targets in 3D
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    Chapter 53 Towards Optimal Non-rigid Surface Tracking
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    Chapter 54 Full Body Performance Capture under Uncontrolled and Varying Illumination: A Shading-Based Approach
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    Chapter 55 Automatic Exposure Correction of Consumer Photographs
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    Chapter 56 Image Guided Tone Mapping with Locally Nonlinear Model
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    Chapter 57 A Comparison of the Statistical Properties of IQA Databases Relative to a Set of Newly Captured High-Definition Images
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    Chapter 58 Supervised Assessment of Segmentation Hierarchies
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    Chapter 59 Image Labeling on a Network: Using Social-Network Metadata for Image Classification
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    Chapter 60 Segmentation Based Particle Filtering for Real-Time 2D Object Tracking
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    Chapter 61 Online video segmentation by bayesian split-merge clustering
  63. Altmetric Badge
    Chapter 62 Joint Classification-Regression Forests for Spatially Structured Multi-object Segmentation
Attention for Chapter 61: Online video segmentation by bayesian split-merge clustering
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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Citations

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32 Dimensions

Readers on

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34 Mendeley
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Chapter title
Online video segmentation by bayesian split-merge clustering
Chapter number 61
Book title
Computer Vision – ECCV 2012
Published in
Lecture notes in computer science, October 2012
DOI 10.1007/978-3-642-33765-9_61
Book ISBNs
978-3-64-233764-2, 978-3-64-233765-9
Authors

Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi

Editors

Andrew Fitzgibbon, Svetlana Lazebnik, Pietro Perona, Yoichi Sato, Cordelia Schmid

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 6%
United Kingdom 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 35%
Student > Master 7 21%
Researcher 5 15%
Professor > Associate Professor 4 12%
Student > Bachelor 3 9%
Other 2 6%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 26 76%
Engineering 5 15%
Unknown 3 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 July 2014.
All research outputs
#9,359,813
of 17,367,552 outputs
Outputs from Lecture notes in computer science
#3,378
of 7,690 outputs
Outputs of similar age
#94,660
of 238,615 outputs
Outputs of similar age from Lecture notes in computer science
#45
of 258 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,690 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 54% 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 238,615 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.
We're also able to compare this research output to 258 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.