Visual Pattern Querying

Visual Pattern Querying is a method within the field of visual querying that identifies, retrieves, or analyzes recurring or significant visual structures in data by leveraging pattern recognition techniques to distinguish specific configurations of visual elements based on their spatial, relational, or semantic attributes.

4

Publications

66

Citations

14

Authors

4

Institutions

Publications per year

2017–2026

2

Authors

14

  1. TS
    Tarique Siddiqui

    University of Illinois Urbana-Champaign, United States

    1 publications · 13 citations

    1

    h-index

  2. DA
    David A. White

    Loyola University New Orleans, United States

    1 publications · 12 citations

    1

    h-index

  3. VO
    Vincent Oria

    New Jersey Institute of Technology, United States

    1 publications · 19 citations

    1

    h-index

  4. LC
    Lei Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    1 publications · 19 citations

    1

    h-index

  5. DB
    David Belo

    Universidade Nova de Lisboa, Portugal

    1 publications · 22 citations

    1

    h-index

1–5 of 14

Venues

  1. Information Processing & Management

    1 publications · 22 citations

    1

    h-index

  2. Statistical and Scientific Database Management

    Conference · 1 publications · 19 citations

    1

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

1–4