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» New Features to Identify Computer Generated Images
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CVPR
2012
IEEE
13 years 9 months ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
CHI
2003
ACM
16 years 7 months ago
Faceted metadata for image search and browsing
There are currently two dominant interface types for searching and browsing large image collections: keywordbased search, and searching by overall similarity to sample images. We ...
Ka-Ping Yee, Kirsten Swearingen, Kevin Li, Marti A...
159
Voted
3DOR
2009
15 years 7 months ago
SHREC'09 Track: Structural Shape Retrieval on Watertight Models
The annual SHape REtrieval Contest (SHREC) measures the performance of 3D model retrieval methods for several different types of models and retrieval purposes. In this contest the...
J. Hartveldt, Michela Spagnuolo, Apostolos Axenopo...
ACCV
2010
Springer
15 years 1 months ago
Learning Image Structures for Optimizing Disparity Estimation
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...
M. V. Rohith, Chandra Kambhamettu
MM
2010
ACM
170views Multimedia» more  MM 2010»
15 years 7 months ago
Training data collection system for a learning-based photographic aesthetic quality inference engine
We present a novel data collection system deployed for the ACQUINE - Aesthetic Quality Inference Engine. The goal of the system is to collect online user opinions, both structured...
Razvan Orendovici, James Ze Wang