Image and video segmentation: The normalized cut framework

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Standard

Image and video segmentation : The normalized cut framework. / Shi, JB; Belongie, S; Leung, T; Malik, J.

1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1. IEEE COMPUTER SOC, 1998. p. 943-947.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Harvard

Shi, JB, Belongie, S, Leung, T & Malik, J 1998, Image and video segmentation: The normalized cut framework. in 1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1. IEEE COMPUTER SOC, pp. 943-947, IEEE International Conference on Image Processing, CHICAGO, Israel, 04/10/1998.

APA

Shi, JB., Belongie, S., Leung, T., & Malik, J. (1998). Image and video segmentation: The normalized cut framework. In 1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1 (pp. 943-947). IEEE COMPUTER SOC.

Vancouver

Shi JB, Belongie S, Leung T, Malik J. Image and video segmentation: The normalized cut framework. In 1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1. IEEE COMPUTER SOC. 1998. p. 943-947

Author

Shi, JB ; Belongie, S ; Leung, T ; Malik, J. / Image and video segmentation : The normalized cut framework. 1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1. IEEE COMPUTER SOC, 1998. pp. 943-947

Bibtex

@inproceedings{e819a06becbd465a850a14a3cb267ae4,
title = "Image and video segmentation: The normalized cut framework",
abstract = "In this paper, we propose a segmentation system based on 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 significant groups are detected first while small variations and details are treated later. Different image features - intensity, color, texture, contour continuity, motion and stereo disparity are treated in one uniform framework.",
author = "JB Shi and S Belongie and T Leung and J Malik",
year = "1998",
language = "English",
isbn = "0-8186-8821-1",
pages = "943--947",
booktitle = "1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1",
publisher = "IEEE COMPUTER SOC",
note = "IEEE International Conference on Image Processing ; Conference date: 04-10-1998 Through 07-10-1998",

}

RIS

TY - GEN

T1 - Image and video segmentation

T2 - IEEE International Conference on Image Processing

AU - Shi, JB

AU - Belongie, S

AU - Leung, T

AU - Malik, J

PY - 1998

Y1 - 1998

N2 - In this paper, we propose a segmentation system based on 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 significant groups are detected first while small variations and details are treated later. Different image features - intensity, color, texture, contour continuity, motion and stereo disparity are treated in one uniform framework.

AB - In this paper, we propose a segmentation system based on 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 significant groups are detected first while small variations and details are treated later. Different image features - intensity, color, texture, contour continuity, motion and stereo disparity are treated in one uniform framework.

M3 - Article in proceedings

SN - 0-8186-8821-1

SP - 943

EP - 947

BT - 1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1

PB - IEEE COMPUTER SOC

Y2 - 4 October 1998 through 7 October 1998

ER -

ID: 302162485