Region-of-interest detection and its application to image segmentation and compression

Huibao Lin; Jennie Si; Glen P. Abousleman

doi:10.1109/KIMAS.2007.369827

Region-of-interest detection and its application to image segmentation and compression

Huibao Lin, Jennie Si, Glen P. Abousleman

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

14 Scopus citations

Abstract

In many intelligence, surveillance, and reconnaissance (ISR) applications, it is desirable to detect potential targets or regions of interest (ROIs) within various types of digital imagery. These ROIs can then be used to automatically cue sensors and assets, to control intelligent region-of-interest-based image compression algorithms, and to direct further analysis for target identification and recognition. In this article, we present our hierarchical region-of-interest detection (HROID) algorithm that can quickly identify and isolate critical regions within low-quality imagery.

Original language	English (US)
Title of host publication	2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007
Pages	306-311
Number of pages	6
DOIs	https://doi.org/10.1109/KIMAS.2007.369827
State	Published - Sep 25 2007
Event	2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007 - Waltham, MA, United States Duration: Apr 30 2007 → May 3 2007

Publication series

Name	2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007

Other

Other	2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007
Country/Territory	United States
City	Waltham, MA
Period	4/30/07 → 5/3/07

ASJC Scopus subject areas

General Computer Science

Access to Document

10.1109/KIMAS.2007.369827

Cite this

Lin, H., Si, J., & Abousleman, G. P. (2007). Region-of-interest detection and its application to image segmentation and compression. In 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007 (pp. 306-311). Article 4227566 (2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007). https://doi.org/10.1109/KIMAS.2007.369827

Region-of-interest detection and its application to image segmentation and compression. / Lin, Huibao; Si, Jennie; Abousleman, Glen P.
2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007. 2007. p. 306-311 4227566 (2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007).

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

Lin, H, Si, J & Abousleman, GP 2007, Region-of-interest detection and its application to image segmentation and compression. in 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007., 4227566, 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007, pp. 306-311, 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007, Waltham, MA, United States, 4/30/07. https://doi.org/10.1109/KIMAS.2007.369827

Lin H, Si J, Abousleman GP. Region-of-interest detection and its application to image segmentation and compression. In 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007. 2007. p. 306-311. 4227566. (2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007). doi: 10.1109/KIMAS.2007.369827

@inproceedings{453fffe77fd740e28141fb922bf5f7b5,

title = "Region-of-interest detection and its application to image segmentation and compression",

abstract = "In many intelligence, surveillance, and reconnaissance (ISR) applications, it is desirable to detect potential targets or regions of interest (ROIs) within various types of digital imagery. These ROIs can then be used to automatically cue sensors and assets, to control intelligent region-of-interest-based image compression algorithms, and to direct further analysis for target identification and recognition. In this article, we present our hierarchical region-of-interest detection (HROID) algorithm that can quickly identify and isolate critical regions within low-quality imagery.",

author = "Huibao Lin and Jennie Si and Abousleman, {Glen P.}",

year = "2007",

month = sep,

day = "25",

doi = "10.1109/KIMAS.2007.369827",

language = "English (US)",

isbn = "1424409454",

series = "2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007",

pages = "306--311",

booktitle = "2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007",

note = "2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007 ; Conference date: 30-04-2007 Through 03-05-2007",

}

TY - GEN

T1 - Region-of-interest detection and its application to image segmentation and compression

AU - Lin, Huibao

AU - Si, Jennie

AU - Abousleman, Glen P.

PY - 2007/9/25

Y1 - 2007/9/25

N2 - In many intelligence, surveillance, and reconnaissance (ISR) applications, it is desirable to detect potential targets or regions of interest (ROIs) within various types of digital imagery. These ROIs can then be used to automatically cue sensors and assets, to control intelligent region-of-interest-based image compression algorithms, and to direct further analysis for target identification and recognition. In this article, we present our hierarchical region-of-interest detection (HROID) algorithm that can quickly identify and isolate critical regions within low-quality imagery.

AB - In many intelligence, surveillance, and reconnaissance (ISR) applications, it is desirable to detect potential targets or regions of interest (ROIs) within various types of digital imagery. These ROIs can then be used to automatically cue sensors and assets, to control intelligent region-of-interest-based image compression algorithms, and to direct further analysis for target identification and recognition. In this article, we present our hierarchical region-of-interest detection (HROID) algorithm that can quickly identify and isolate critical regions within low-quality imagery.

UR - http://www.scopus.com/inward/record.url?scp=34548745301&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34548745301&partnerID=8YFLogxK

U2 - 10.1109/KIMAS.2007.369827

DO - 10.1109/KIMAS.2007.369827

M3 - Conference contribution

AN - SCOPUS:34548745301

SN - 1424409454

SN - 9781424409457

T3 - 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007

SP - 306

EP - 311

BT - 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007

T2 - 2007 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS 2007

Y2 - 30 April 2007 through 3 May 2007

ER -

Region-of-interest detection and its application to image segmentation and compression

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this