Grouping in the normalized cut framework

Publikation: Bidrag til tidsskriftKonferenceartikelForskningfagfællebedømt

Standard

Grouping in the normalized cut framework. / Malik, Jitendra; Shi, Jianbo; Belongie, Serge; Leung, Thomas.

I: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 1999, s. 155-164.

Publikation: Bidrag til tidsskriftKonferenceartikelForskningfagfællebedømt

Harvard

Malik, J, Shi, J, Belongie, S & Leung, T 1999, 'Grouping in the normalized cut framework', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), s. 155-164. https://doi.org/10.1007/3-540-46805-6_9

APA

Malik, J., Shi, J., Belongie, S., & Leung, T. (1999). Grouping in the normalized cut framework. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 155-164. https://doi.org/10.1007/3-540-46805-6_9

Vancouver

Malik J, Shi J, Belongie S, Leung T. Grouping in the normalized cut framework. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999;155-164. https://doi.org/10.1007/3-540-46805-6_9

Author

Malik, Jitendra ; Shi, Jianbo ; Belongie, Serge ; Leung, Thomas. / Grouping in the normalized cut framework. I: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1999 ; s. 155-164.

Bibtex

@inproceedings{15c063bbbbe6464b89665ee854121e9d,
title = "Grouping in the normalized cut framework",
abstract = "In this paper, we study low-level image segmentation in the normalized cut framework proposed by Shi and Malik (1997). The goal is to partition the image from a big picture point of view. Perceptually signicant groups are detected rst while small variations and details are treated later. Dierent image features-intensity, color, texture, con-tour continuity, motion and stereo disparity are treated in one uniform framework. We suggest directions for intermediate-level grouping on the output of this low-level segmentation.",
author = "Jitendra Malik and Jianbo Shi and Serge Belongie and Thomas Leung",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; International Workshop on Shape, Contour and Grouping in Computer Vision ; Conference date: 26-05-1998 Through 29-05-1998",
year = "1999",
doi = "10.1007/3-540-46805-6_9",
language = "English",
pages = "155--164",
journal = "Lecture Notes in Computer Science",
issn = "0302-9743",
publisher = "Springer Verlag",

}

RIS

TY - GEN

T1 - Grouping in the normalized cut framework

AU - Malik, Jitendra

AU - Shi, Jianbo

AU - Belongie, Serge

AU - Leung, Thomas

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 1999.

PY - 1999

Y1 - 1999

N2 - In this paper, we study low-level image segmentation in the normalized cut framework proposed by Shi and Malik (1997). The goal is to partition the image from a big picture point of view. Perceptually signicant groups are detected rst while small variations and details are treated later. Dierent image features-intensity, color, texture, con-tour continuity, motion and stereo disparity are treated in one uniform framework. We suggest directions for intermediate-level grouping on the output of this low-level segmentation.

AB - In this paper, we study low-level image segmentation in the normalized cut framework proposed by Shi and Malik (1997). The goal is to partition the image from a big picture point of view. Perceptually signicant groups are detected rst while small variations and details are treated later. Dierent image features-intensity, color, texture, con-tour continuity, motion and stereo disparity are treated in one uniform framework. We suggest directions for intermediate-level grouping on the output of this low-level segmentation.

UR - http://www.scopus.com/inward/record.url?scp=46249116512&partnerID=8YFLogxK

U2 - 10.1007/3-540-46805-6_9

DO - 10.1007/3-540-46805-6_9

M3 - Conference article

AN - SCOPUS:46249116512

SP - 155

EP - 164

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

SN - 0302-9743

T2 - International Workshop on Shape, Contour and Grouping in Computer Vision

Y2 - 26 May 1998 through 29 May 1998

ER -

ID: 302060460