Interactive search fusion methods for video database retrieval

被引：0

作者：

Smith, JR ^{[1
]}

Jaimes, A ^{[1
]}

Lin, CY ^{[1
]}

Naphade, M ^{[1
]}

Natsev, AP ^{[1
]}

Tseng, B ^{[1
]}

机构：

[1] IBM TJ Watson Res Ctr, Hawthorne, NY 10532 USA

来源：

2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 1, PROCEEDINGS | 2003年

关键词：

image and video databases; content-based retrieval; multimedia indexing; MPEG-7;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

In this paper we investigate a new method for video database retrieval using interactive search fusion. Recent video analysis techniques have enabled the extraction of a variety of descriptors of features, concepts, clusters, classification results, speech and textual terms, MPEG-7 metadata, and so on. However given an information need users are faced with a daunting task of trying to formulate queries over these multiple disparate data sources it? order to retrieve the desired video content. In this paper we explore a novel approach based on search fusion in which the user interactively builds a query by sequentially choosing among the descriptors and data sources and by selecting from various combining and score aggregation functions to fuse results of individual searches. For example, the system allows building of queries such as "retrieve video clips that have color of beach scenes, the detection of sky, and detection of water" In this paper we present the search fusion method and evaluate the performance on a large video database.

引用

页码：741 / 744

页数：4