pir:基于感知的图像检索-一个可以快速捕获主观图像查询概念的系统

MULTIMEDIA '01 Pub Date : 2001-10-01 DOI:10.1145/500141.500260

E. Chang, K. Cheng, Wei-Cheng Lai, Ching-Tung Wu, Chengwei Chang, Yi-Leh Wu

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引用次数: 13

摘要

我们描述了基于感知的图像检索(pir)系统，该系统基于我们最近开发的查询概念学习算法MEGA和SVMActive。我们表明，MEGA和SVMActive可以在大型、多类别、高维图像数据库上进行少量用户迭代(通常为三到四次)学习复杂的图像查询概念。

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PBIR: perception-based image retrieval-a system that can quickly capture subjective image query concepts

We describe the Perception-Based Image Retrieval (PBIR) system that we have built on our recently developed query-concept learning algorithms, MEGA and SVMActive. We show that MEGA and SVMActive can learn a complex image-query concept in a small number of user iterations (usually three to four) on a large, multi-category, high-dimensional image database.

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MULTIMEDIA '01

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