PBIR - Perception-based image retrieval

E. Chang; K. T. Cheng; L. L. Chang

doi:10.1145/375663.375776

PBIR - Perception-based image retrieval

E. Chang^*, K. T. Cheng, L. L. Chang

^*Corresponding author for this work

Research output: Contribution to journal › Conference article published in journal › peer-review

11 Citations (Scopus)

Abstract

We demonstrate a system that we have built on our proposed perception-based image retrieval (PBIR) paradigm. This PBIR system achieves accurate similarity measurements by rooting image characterization in human perception and by learning user's query concept through an intelligent sampling process. We show that our system can usually grasp a user's query concept with a small number of labeled instances.

Original language	English
Pages (from-to)	613
Number of pages	1
Journal	Proceedings of the ACM SIGMOD International Conference on Management of Data
DOIs	https://doi.org/10.1145/375663.375776
Publication status	Published - 2001
Externally published	Yes
Event	2001 ACM SIGMOD International Conference on Management of Data - Santa Barbara, CA, United States Duration: 21 May 2001 → 24 May 2001

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@article{5f8e21da235b41c6b7776a3c1ef3bd64,

title = "PBIR - Perception-based image retrieval",

abstract = "We demonstrate a system that we have built on our proposed perception-based image retrieval (PBIR) paradigm. This PBIR system achieves accurate similarity measurements by rooting image characterization in human perception and by learning user's query concept through an intelligent sampling process. We show that our system can usually grasp a user's query concept with a small number of labeled instances.",

author = "E. Chang and Cheng, \{K. T.\} and Chang, \{L. L.\}",

year = "2001",

doi = "10.1145/375663.375776",

language = "English",

pages = "613",

journal = "Proceedings of the ACM SIGMOD International Conference on Management of Data",

issn = "0730-8078",

note = "2001 ACM SIGMOD International Conference on Management of Data ; Conference date: 21-05-2001 Through 24-05-2001",

}

TY - JOUR

T1 - PBIR - Perception-based image retrieval

AU - Chang, E.

AU - Cheng, K. T.

AU - Chang, L. L.

PY - 2001

Y1 - 2001

N2 - We demonstrate a system that we have built on our proposed perception-based image retrieval (PBIR) paradigm. This PBIR system achieves accurate similarity measurements by rooting image characterization in human perception and by learning user's query concept through an intelligent sampling process. We show that our system can usually grasp a user's query concept with a small number of labeled instances.

AB - We demonstrate a system that we have built on our proposed perception-based image retrieval (PBIR) paradigm. This PBIR system achieves accurate similarity measurements by rooting image characterization in human perception and by learning user's query concept through an intelligent sampling process. We show that our system can usually grasp a user's query concept with a small number of labeled instances.

UR - https://openalex.org/W2166239026

UR - https://www.scopus.com/pages/publications/0034818955

U2 - 10.1145/375663.375776

DO - 10.1145/375663.375776

M3 - Conference article published in journal

SN - 0730-8078

SP - 613

JO - Proceedings of the ACM SIGMOD International Conference on Management of Data

JF - Proceedings of the ACM SIGMOD International Conference on Management of Data

T2 - 2001 ACM SIGMOD International Conference on Management of Data

Y2 - 21 May 2001 through 24 May 2001

ER -

PBIR - Perception-based image retrieval

Abstract

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