Conference item icon

Conference item

A Statistical Model for General Contextual Object Recognition

Abstract:

We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects. Given a set of images and their associated text (e.g. keywords, captions, descriptions), the objective is to segment an image, in either a crude or sophisticated fashion, then to find the proper associations between words and regions. Previous models are limited by the scope of the representation. In particular, th...

Expand abstract

Actions


Access Document


Publisher:
Springer Berlin Heidelberg
Host title:
European Conference on Computer Vision (ECCV)
Volume:
3021
Publication date:
2004-01-01
DOI:
ISBN:
9783540219842
UUID:
uuid:a6d45a20-b837-4dd1-89a8-2373a5764167
Local pid:
cs:7523
Deposit date:
2015-03-31

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP