Image and video segmentation: The normalized cut framework
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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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
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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