Automatic knowledge construction of scene composition using object categorization on images

Go Kikuchi; Hiroyuki Kasai

doi:10.1109/ICCE.2012.6161781

Automatic knowledge construction of scene composition using object categorization on images

Go Kikuchi^*, Hiroyuki Kasai

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

This paper proposes a method to construct the scene composition of an event, a place and a situation by learning appearance pattern of objects in them. We recognize objects inside an image, and extract representative patterns based by analyzing the appearance combination of object in a large amount of images. Preliminary experiment shows that the proposal can create knowledge of scene composition with no contradiction and gives unfamiliar insights for the scene ¹.

Original language	English
Title of host publication	2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Pages	145-146
Number of pages	2
DOIs	https://doi.org/10.1109/ICCE.2012.6161781
Publication status	Published - 2012
Externally published	Yes
Event	2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States Duration: 2012 Jan 13 → 2012 Jan 16

Publication series

Name	Digest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)	0747-668X

Conference

Conference	2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Country/Territory	United States
City	Las Vegas, NV
Period	12/1/13 → 12/1/16

ASJC Scopus subject areas

Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ICCE.2012.6161781

Cite this

Automatic knowledge construction of scene composition using object categorization on images. / Kikuchi, Go; Kasai, Hiroyuki.
2012 IEEE International Conference on Consumer Electronics, ICCE 2012. 2012. p. 145-146 6161781 (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kikuchi, G & Kasai, H 2012, Automatic knowledge construction of scene composition using object categorization on images. in 2012 IEEE International Conference on Consumer Electronics, ICCE 2012., 6161781, Digest of Technical Papers - IEEE International Conference on Consumer Electronics, pp. 145-146, 2012 IEEE International Conference on Consumer Electronics, ICCE 2012, Las Vegas, NV, United States, 12/1/13. https://doi.org/10.1109/ICCE.2012.6161781

@inproceedings{f159f66c5bf5428e94154c45f97c9256,

title = "Automatic knowledge construction of scene composition using object categorization on images",

abstract = "This paper proposes a method to construct the scene composition of an event, a place and a situation by learning appearance pattern of objects in them. We recognize objects inside an image, and extract representative patterns based by analyzing the appearance combination of object in a large amount of images. Preliminary experiment shows that the proposal can create knowledge of scene composition with no contradiction and gives unfamiliar insights for the scene 1.",

author = "Go Kikuchi and Hiroyuki Kasai",

year = "2012",

doi = "10.1109/ICCE.2012.6161781",

language = "English",

isbn = "9781457702310",

series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",

pages = "145--146",

booktitle = "2012 IEEE International Conference on Consumer Electronics, ICCE 2012",

note = "2012 IEEE International Conference on Consumer Electronics, ICCE 2012 ; Conference date: 13-01-2012 Through 16-01-2012",

}

TY - GEN

T1 - Automatic knowledge construction of scene composition using object categorization on images

AU - Kikuchi, Go

AU - Kasai, Hiroyuki

PY - 2012

Y1 - 2012

N2 - This paper proposes a method to construct the scene composition of an event, a place and a situation by learning appearance pattern of objects in them. We recognize objects inside an image, and extract representative patterns based by analyzing the appearance combination of object in a large amount of images. Preliminary experiment shows that the proposal can create knowledge of scene composition with no contradiction and gives unfamiliar insights for the scene 1.

AB - This paper proposes a method to construct the scene composition of an event, a place and a situation by learning appearance pattern of objects in them. We recognize objects inside an image, and extract representative patterns based by analyzing the appearance combination of object in a large amount of images. Preliminary experiment shows that the proposal can create knowledge of scene composition with no contradiction and gives unfamiliar insights for the scene 1.

UR - http://www.scopus.com/inward/record.url?scp=84858854276&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84858854276&partnerID=8YFLogxK

U2 - 10.1109/ICCE.2012.6161781

DO - 10.1109/ICCE.2012.6161781

M3 - Conference contribution

AN - SCOPUS:84858854276

SN - 9781457702310

T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics

SP - 145

EP - 146

BT - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012

T2 - 2012 IEEE International Conference on Consumer Electronics, ICCE 2012

Y2 - 13 January 2012 through 16 January 2012

ER -

Automatic knowledge construction of scene composition using object categorization on images

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this