Fuzzy Inference of Time Adjustment in Multimedia Information Acquisition | Zendy

Kabsuk Oh | Zendy; Kaoru Hirota | Zendy

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Fuzzy Inference of Time Adjustment in Multimedia Information Acquisition

Author(s) -

Kabsuk Oh,

Kaoru Hirota

Publication year - 1998

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.1998.p0062

Subject(s) - computer science , fuzzy logic , multimedia , inference , interval (graph theory) , artificial intelligence , speech recognition , mathematics , combinatorics

A multimedia information data acquisition method is proposed based on fuzzy rules, in which multimedia mean the five human senses. Observed information is visual, acoustic, gustatory, olfactory, and tactile ( VAGOT ), time series data and the goal is to extract an appropriate subset of VAGOT data based on a given instruction. Here, multimedia information centers on image and sound, represented by membership functions. Fuzzy rules based on visual and acoustic information are used to identify the appropriate time interval in three experiments : various cars on a road, sunny-side-up eggs and fireworks.

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