Techniques and systems for image and video retrieval

被引:97
作者
Aslandogan, YA [1 ]
Yu, CT [1 ]
机构
[1] Univ Illinois, Dept Elect Engn & Comp Sci, Chicago, IL 60607 USA
基金
美国国家科学基金会;
关键词
image and video retrieval; content-based retrieval; multimedia databases; information retrieval;
D O I
10.1109/69.755615
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Storage and retrieval of multimedia has become a requirement for many contemporary information systems. These systems need to provide browsing, querying, navigation, and, sometimes, composition capabilities involving various forms of media. In this survey, we review techniques and systems for image and video retrieval. We first look at visual features for image retrieval such as color, texture. shape, and spatial relationships. The indexing techniques are discussed for these features. Nonvisual features include captions, annotations. relational attributes, and structural descriptions. Temporal aspects of video retrieval and video segmentation are discussed next. We review several systems for image and video retrieval including research, commercial. and World Wide Web-based systems. We conclude with an overview of current challenges and future trends for image and Video retrieval.
引用
收藏
页码:56 / 63
页数:8
相关论文
共 52 条
[1]  
Alshuth P., 1996, Proceedings ACM Multimedia 96, DOI 10.1145/244130.244451
[2]  
[Anonymous], P ACM SIGMOD INT C M
[3]  
[Anonymous], 1989, The Design and Analysis of Spatial Data Structures
[4]  
[Anonymous], **NON-TRADITIONAL**
[5]  
ASLANDOGAN YA, 1995, PROC INT CONF DATA, P280, DOI 10.1109/ICDE.1995.380383
[6]  
ASLANDOGAN YA, 1997, P ACM SIGIR C
[7]  
Chang S., 1996, P 33 ANN CLIN LIB AP
[8]  
CHANG SF, 1995, 4149520 CUCTR
[9]  
CHANG SK, 1987, IEEE T PATTERN ANAL
[10]  
Chellapa R., 1995, P IEEE, V83