Intelligent fuzzy queries for multimedia databases

Abstract

Multimedia databases have emerged to cope up with the huge amount of multimedia data, which comes up as a result of technological advancement. However, more intelligent techniques are required to satisfy different query requirements of multimedia users. This study extends the query capability of a multimedia database through the integration of a fuzzy rule-based system. In addition to fuzzy semantic rules, which deduce new information from the data stored in the database, fuzzy spatial and temporal relations, which are inherent to multimedia applications, are defined in the rule-based system. Users can formulate fuzzy semantic, spatial, temporal, and spatiotemporal queries, resulting in the deduction of new information using the rules defined in the rule-based system. With some practical examples, the paper presents how a fuzzy rule-based system integrated to a fuzzy multimedia database improves the query capabilities of the database system intelligently. C 2011 Wiley Periodicals, Inc.

A component-based object detection method extended with a fuzzy inference engine

“…In this study, we use the same positional relations given in [26]. Four positional relations, which are right, left, above and below, are defined as fuzzy relations.…”

“…In this study, two fuzzy distance relations are defined as near and far in line with [26]. The membership functions of these relations are given in Equations (7) and (8).…”

Fuzzy XML and prioritized fuzzy XQuery with implementation

“…Papers on this subject deal with extending database models by introducing fuzzy types [23][24][25][26][27] or extending the SQL [28] and XQuery syntax [29,30] by fuzzy elements. Some of the significant works related to this subject are: [31][32][33][34][35]. Tomson and Radhamani in paper [29] give an example of using the fuzzy values in the XQuery query, which this paper is extending with priorities and thresholds.…”