Sciweavers

ICCV
2011
IEEE
13 years 13 days ago
End-to-end Scene Text Recognition
This paper focuses on the problem of word detection and recognition in natural images. The problem is significantly more challenging than reading text in scanned documents, and h...
Kai Wang, Boris Babenko, Serge Belongie
ICASSP
2011
IEEE
13 years 4 months ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...
ICPR
2000
IEEE
14 years 4 months ago
3-D Structures for Generic Object Recognition
We discuss the issues and challenges of generic object recognition. We argue that high-level, volumetric part-based descriptions are essential in the process of recognizing object...
Gérard G. Medioni, Alexandre R. J. Fran&cce...
KES
2005
Springer
14 years 6 months ago
Ontology Modeling and Storage System for Robot Context Understanding
Abstract. A mobile robot that interacts with its environment needs a machineunderstandable representation of objects and their usages. We present an ontology of objects, with gener...
Eric Wang, Yong Se Kim, Hak Soo Kim, Jin Hyun Son,...
ACIVS
2006
Springer
14 years 6 months ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...
MIR
2010
ACM
226views Multimedia» more  MIR 2010»
14 years 7 months ago
Automatically annotating the MIR Flickr dataset: experimental protocols, openly available data and semantic spaces
The availability of a large, freely redistributable set of highquality annotated images is critical to allowing researchers in the area of automatic annotation, generic object rec...
Jonathon S. Hare, Paul H. Lewis
ICPR
2004
IEEE
15 years 1 months ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ICPR
2006
IEEE
15 years 1 months ago
A Hierarchical Object Recognition System Based on Multi-scale Principal Curvature Regions
This paper proposes a new generic object recognition system based on multi-scale affineinvariant image regions. Image segments are obtained by a watershed transform of the princip...
Wei Zhang, Hongli Deng, Thomas G. Dietterich, Eric...
ECCV
2004
Springer
15 years 2 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
CVPR
2006
IEEE
15 years 2 months ago
Augmenting Shape with Appearance in Vehicle Category Recognition
Shape is an important cue for generic object recognition but can be insufficient without other cues such as object appearance. We explore a number of ways in which the geometric a...
Özge Can Özcanli, Amir Tamrakar, Benjami...