Basic Level Scene Understanding: Categories, Attributes and Structures

A longstanding goal of computer vision is to build a system that can automatically understand a 3D scene from a single image. This requires extracting semantic concepts and 3D information from 2D images which can depict an enormous variety of environments that comprise our visual world. This paper s...

Full description

Bibliographic Details
Main Authors: Jianxiong eXiao, James eHays, Bryan C. Russell, Genevieve ePatterson, Krista eEhinger, Antonio eTorralba, Aude eOliva
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-08-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00506/full
_version_ 1828328466384158720
author Jianxiong eXiao
James eHays
Bryan C. Russell
Genevieve ePatterson
Krista eEhinger
Antonio eTorralba
Aude eOliva
author_facet Jianxiong eXiao
James eHays
Bryan C. Russell
Genevieve ePatterson
Krista eEhinger
Antonio eTorralba
Aude eOliva
author_sort Jianxiong eXiao
collection DOAJ
description A longstanding goal of computer vision is to build a system that can automatically understand a 3D scene from a single image. This requires extracting semantic concepts and 3D information from 2D images which can depict an enormous variety of environments that comprise our visual world. This paper summarizes our recent efforts toward these goals. First, we describe the richly annotated SUN database which is a collection of annotated images spanning 908 different scene categories with object, attribute, and geometric labels for many scenes. This database allows us to systematically study the space of scenes and to establish a benchmark for scene and object recognition. We augment the categorical SUN database with 102 scene attributes for every image and explore attribute recognition. Finally, we present an integrated system to extract the 3D structure of the scene and objects depicted in an image.
first_indexed 2024-04-13T20:10:11Z
format Article
id doaj.art-a836e0b06a134b39928144d81d5ea4f9
institution Directory Open Access Journal
issn 1664-1078
language English
last_indexed 2024-04-13T20:10:11Z
publishDate 2013-08-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Psychology
spelling doaj.art-a836e0b06a134b39928144d81d5ea4f92022-12-22T02:31:52ZengFrontiers Media S.A.Frontiers in Psychology1664-10782013-08-01410.3389/fpsyg.2013.0050654172Basic Level Scene Understanding: Categories, Attributes and StructuresJianxiong eXiao0James eHays1Bryan C. Russell2Genevieve ePatterson3Krista eEhinger4Antonio eTorralba5Aude eOliva6Princeton UniversityBrown UniversityUniversity of WashingtonBrown UniversityMassachusetts Institute of TechnologyMassachusetts Institute of TechnologyMassachusetts Institute of TechnologyA longstanding goal of computer vision is to build a system that can automatically understand a 3D scene from a single image. This requires extracting semantic concepts and 3D information from 2D images which can depict an enormous variety of environments that comprise our visual world. This paper summarizes our recent efforts toward these goals. First, we describe the richly annotated SUN database which is a collection of annotated images spanning 908 different scene categories with object, attribute, and geometric labels for many scenes. This database allows us to systematically study the space of scenes and to establish a benchmark for scene and object recognition. We augment the categorical SUN database with 102 scene attributes for every image and explore attribute recognition. Finally, we present an integrated system to extract the 3D structure of the scene and objects depicted in an image.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00506/fullScene RecognitionSUN databasebasic level scene understandingscene attributesgeometry recognition3D context
spellingShingle Jianxiong eXiao
James eHays
Bryan C. Russell
Genevieve ePatterson
Krista eEhinger
Antonio eTorralba
Aude eOliva
Basic Level Scene Understanding: Categories, Attributes and Structures
Frontiers in Psychology
Scene Recognition
SUN database
basic level scene understanding
scene attributes
geometry recognition
3D context
title Basic Level Scene Understanding: Categories, Attributes and Structures
title_full Basic Level Scene Understanding: Categories, Attributes and Structures
title_fullStr Basic Level Scene Understanding: Categories, Attributes and Structures
title_full_unstemmed Basic Level Scene Understanding: Categories, Attributes and Structures
title_short Basic Level Scene Understanding: Categories, Attributes and Structures
title_sort basic level scene understanding categories attributes and structures
topic Scene Recognition
SUN database
basic level scene understanding
scene attributes
geometry recognition
3D context
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2013.00506/full
work_keys_str_mv AT jianxiongexiao basiclevelsceneunderstandingcategoriesattributesandstructures
AT jamesehays basiclevelsceneunderstandingcategoriesattributesandstructures
AT bryancrussell basiclevelsceneunderstandingcategoriesattributesandstructures
AT genevieveepatterson basiclevelsceneunderstandingcategoriesattributesandstructures
AT kristaeehinger basiclevelsceneunderstandingcategoriesattributesandstructures
AT antonioetorralba basiclevelsceneunderstandingcategoriesattributesandstructures
AT audeeoliva basiclevelsceneunderstandingcategoriesattributesandstructures