Optimizing Multi-Feature Queries for Image Databases

In digital libraries image retrieval queries can be based on the similarity of objects, using several feature attributes like shape, texture, color or text. Such multi-feature queries return a ranked result set instead of exact matches. Besides, the user wants to see only the k top-ranked objects. We present a new algorithm called Quick-Combine

• Type: Conference
• Year: 2000
• Where: VLDB
• Authors: Ulrich Güntzer, Wolf-Tilo Balke, Werner Kießling
• Keywords: Database, Image Retrieval Queries, Such Multi-feature Queries, Top-ranked Objects, VLDB 2000