Perimeter Intercepted Length and Color t-Value as Features for Nature-Image Retrieval

Chen, Yung-Fu; Tsai, Meng‐Hsiun; Cheng, Chung-Chuan; Chan, Po-Chou; Zhong, Yuan-Heng

doi:10.1007/978-3-540-73325-6_19

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Joint Distribution Of Color and Position1

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“…We cite some commercial systems integrating local spatial information QBIC (IBM) [7] Watson [8] (IBM), TURN [9] AMORE (NEC) [10] WALRUS (Bell) [11] , IKONA (INRIA) [12]. In the academic field we cite Photobook (MIT) [13] BlobWorld (Berkeley) [14] VisualSEEK et WebSEEK (Columbia) [15], WBIIS (Stanford) [16] and [17].…”

Section: Joint Distribution Of Color and Positionmentioning

confidence: 99%

A Content based Image Retrieval Framework Using Color Descriptor

Bahri¹,

Zouaki²

2016

IJCNIS

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In this work, we propose an image search method by visual content (CBIR), which is based on the color descriptor. The proposed method take account the spatial distribution of colors and make the signature partially invariant under rotation. The basic idea of our method is to use circular shift (clockwise or anticlockwise direction) and mirror (horizontal direction and vertical direction respectively) matching scheme to measure the distance between signatures. Through some experiments, we show that this approach leads to a significant improvement in the quality of results.

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