A survey of methods for image annotation

被引：95

作者：

Hanbury, Allan ^{[1
]}

机构：

[1] Inst Comp Aided Automat, Pattern Recognit & Image Proc Grp PRIP, A-1040 Vienna, Austria

来源：

JOURNAL OF VISUAL LANGUAGES AND COMPUTING | 2008年 / 19卷 / 05期

基金：

奥地利科学基金会;

关键词：

image annotation; object recognition; computer vision; ontology; algorithm evaluation;

D O I：

10.1016/j.jvlc.2008.01.002

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In order to evaluate automated image annotation and object recognition algorithms, ground truth in the form of a set of images correctly annotated with text describing each image is required. In this paper, three image annotation approaches are reviewed: free text annotation, keyword annotation and annotation based on ontologies. The practical aspects of image annotation are then considered. We discuss the creation of keyword vocabularies for use in automated image annotation evaluation. As direct manual annotation of images requires much time and effort, we also review various methods to make the creation of ground truth more efficient. An overview of annotated image datasets for computer vision research is provided. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：617 / 627

页数：11

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