Computational Visual Media

First International Conference, CVM 2012, Beijing, China, November 8-10, 2012. Proceedings

Editors:

ISBN: 978-3-642-34262-2 (Print) 978-3-642-34263-9 (Online)

Table of contents (34 chapters)

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  1. Front Matter

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  2. Section 1: Image Processing I

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      Pages 1-8

      Identifying Shifted Double JPEG Compression Artifacts for Non-intrusive Digital Image Forensics

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      Pages 9-16

      A Novel Customized Recompression Framework for Massive Internet Images

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      Pages 17-24

      Decomposition Equation of Basis Images with Consideration of Global Illumination

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      Pages 25-32

      Intrinsic Image Decomposition with Local Smooth Assumption and Global Color Assumption

  3. Section 2: Image Processing II

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      Pages 33-42

      A Game-Theoretical Approach to Image Segmentation

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      Pages 43-50

      Clothed and Naked Human Shapes Estimation from a Single Image

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      Pages 51-58

      Image Colorization with an Affective Word

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      Pages 59-66

      Semantic Image Clustering Using Object Relation Network

  4. Section 3: Geometry Processing

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      Pages 67-74

      Efficient Solid Texture Synthesis Using Gradient Solids

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      Pages 75-82

      A Robust Algorithm for Denoising Meshes with High-Resolution Details

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      Pages 83-90

      Mesh Segmentation for Parallel Decompression on GPU

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      Pages 91-98

      Modeling Residential Urban Areas from Dense Aerial LiDAR Point Clouds

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      Pages 99-106

      Constrained Texture Mapping on Subdivision Surfaces

  5. Section 4: Saliency

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      Pages 107-114

      Similar Region Contrast Based Salient Object Detection

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      Pages 115-121

      A Shape Enhancement Technique Based on Multi-channel Salience Measure

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      Pages 122-129

      Multi-scale Salient Feature Extraction on Mesh Models

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      Pages 130-137

      Global Contrast of Superpixels Based Salient Region Detection

  6. Section 5: Recognition, Perception and Learning

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      Pages 138-145

      Incremental Shared Subspace Learning for Multi-label Classification

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      Pages 146-153

      2D-Line-Drawing-Based 3D Object Recognition

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      Pages 154-161

      Graph Regularized ICA for Over-Complete Feature Learning

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