The 2010 edition of the European Conference on Computer Vision was held in Heraklion, Crete. The call for papers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at least two times as Area Chairs within the past two years at major vision conferences were excluded; (2) Researchers who served as Area Chairs at the 2010 Computer Vision and Pattern Recognition were also excluded (exception: ECCV 2012 Program Chairs); (3) Minimization of overlap introduced by Area Chairs being former student and advisors; (4) 20% of the Area Chairs had never served before in a major conference; (5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. Each Area Chair was assigned by the Program Chairs between 28–32 papers. Based on paper content, the Area Chair recommended up to seven potential reviewers per paper. Such assignment was made using all reviewers in the database including the conflicting ones. The Program Chairs manually entered the missing conflict domains of approximately 300 reviewers. Based on the recommendation of the Area Chairs, three reviewers were selected per paper (with at least one being of the top three suggestions), with 99.
Author(s): Anush K. Moorthy, Pere Obrador, Nuria Oliver (auth.), Kostas Daniilidis, Petros Maragos, Nikos Paragios (eds.)
Series: Lecture Notes in Computer Science 6315 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 807
Tags: Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing and Computer Vision; Pattern Recognition; Biometrics; Computer Graphics; Algorithm Analysis and Problem Complexity
Front Matter....Pages -
Towards Computational Models of the Visual Aesthetic Appeal of Consumer Videos....Pages 1-14
Object Recognition Using Junctions....Pages 15-28
Using Partial Edge Contour Matches for Efficient Object Category Localization....Pages 29-42
Active Mask Hierarchies for Object Detection....Pages 43-56
From a Set of Shapes to Object Discovery....Pages 57-70
What Does Classifying More Than 10,000 Image Categories Tell Us?....Pages 71-84
Modeling and Analysis of Dynamic Behaviors of Web Image Collections....Pages 85-98
Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model....Pages 99-112
Efficient Highly Over-Complete Sparse Coding Using a Mixture Model....Pages 113-126
Attribute-Based Transfer Learning for Object Categorization with Zero/One Training Example....Pages 127-140
Image Classification Using Super-Vector Coding of Local Image Descriptors....Pages 141-154
A Discriminative Latent Model of Object Classes and Attributes....Pages 155-168
Seeing People in Social Context: Recognizing People and Social Relationships....Pages 169-182
Discovering Multipart Appearance Models from Captioned Images....Pages 183-196
Voting by Grouping Dependent Parts....Pages 197-210
Superpixels and Supervoxels in an Energy Optimization Framework....Pages 211-224
Convex Relaxation for Multilabel Problems with Product Label Spaces....Pages 225-238
Graph Cut Based Inference with Co-occurrence Statistics....Pages 239-253
Ambrosio-Tortorelli Segmentation of Stochastic Images....Pages 254-267
Multiple Hypothesis Video Segmentation from Superpixel Flows....Pages 268-281
Object Segmentation by Long Term Analysis of Point Trajectories....Pages 282-295
Exploiting Repetitive Object Patterns for Model Compression and Completion....Pages 296-309
Feature Tracking for Wide-Baseline Image Retrieval....Pages 310-323
Crowd Detection with a Multiview Sampler....Pages 324-337
A Unified Contour-Pixel Model for Figure-Ground Segmentation....Pages 338-351
SuperParsing: Scalable Nonparametric Image Parsing with Superpixels....Pages 352-365
Segmenting Salient Objects from Images and Videos....Pages 366-379
ClassCut for Unsupervised Class Segmentation....Pages 380-393
A Dynamic Programming Approach to Reconstructing Building Interiors....Pages 394-407
Discriminative Mixture-of-Templates for Viewpoint Classification....Pages 408-421
Efficient Non-consecutive Feature Tracking for Structure-from-Motion....Pages 422-435
P 2Π: A Minimal Solution for Registration of 3D Points to 3D Planes....Pages 436-449
Boosting Chamfer Matching by Learning Chamfer Distance Normalization....Pages 450-463
Geometry Construction from Caustic Images....Pages 464-477
Archive Film Restoration Based on Spatiotemporal Random Walks....Pages 478-491
Reweighted Random Walks for Graph Matching....Pages 492-505
Rotation Invariant Non-rigid Shape Matching in Cluttered Scenes....Pages 506-518
Loosely Distinctive Features for Robust Surface Alignment....Pages 519-532
Accelerated Hypothesis Generation for Multi-structure Robust Fitting....Pages 533-546
Aligning Spatio-Temporal Signals on a Special Manifold....Pages 547-560
Supervised Label Transfer for Semantic Segmentation of Street Scenes....Pages 561-574
Category Independent Object Proposals....Pages 575-588
Photo-Consistent Planar Patches from Unstructured Cloud of Points....Pages 589-602
Contour Grouping and Abstraction Using Simple Part Models....Pages 603-616
Dynamic Color Flow: A Motion-Adaptive Color Model for Object Segmentation in Video....Pages 617-630
What Is the Chance of Happening: A New Way to Predict Where People Look....Pages 631-643
Supervised and Unsupervised Clustering with Probabilistic Shift....Pages 644-657
Depth-Encoded Hough Voting for Joint Object Detection and Shape Recovery....Pages 658-671
Shape Analysis of Planar Objects with Arbitrary Topologies Using Conformal Geometry....Pages 672-686
A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection....Pages 687-700
Object Classification Using Heterogeneous Co-occurrence Features....Pages 701-714
Converting Level Set Gradients to Shape Gradients....Pages 715-728
A Close-Form Iterative Algorithm for Depth Inferring from a Single Image....Pages 729-742
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer....Pages 743-756
Weakly Supervised Shape Based Object Detection with Particle Filter....Pages 757-770
Geodesic Shape Retrieval via Optimal Mass Transport....Pages 771-784
Image Segmentation with Topic Random Field....Pages 785-798
Back Matter....Pages -
