Difficulties in Image Retrieval

2009/01/01 by Masashi Inoue, Inoue, Masashi · 1 citation
Computer Science · Mathematics · #Advanced Image and Video Retrieval Techniques #Artificial intelligence #Automatic image annotation #Computer science #Field (mathematics) #Human–computer information retrieval #Image (mathematics) #Image Retrieval and Classification Techniques #Image retrieval #Information Retrieval and Search Behavior #Information retrieval #Mathematics #Search engine #Semantic gap #Visual Word #insufficiency #scarcity #user #utility

paper · doi:10.4230/dagsemproc.08251.4

published in DROPS (Schloss Dagstuhl – Leibniz Center for Informatics), 0 (Schloss Dagstuhl – Leibniz Center for Informatics)

openalex publication_date 2009/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The semantic gap is often regarded as a major problem in the field of image retrieval research. In this paper, I will show that there are other important topics that should be addressed for improving the image retrieval utility. Among them, the exploitation of limited information and motivating the use of images are considered to be central to the development of image retrieval.

Citations

• Labeling images with a computer game

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