Efficient Semantic Image Processing Mechanism for Automatic Context-Aware Based on Cloud Infrastructure

Abstract

In recent years, fusion studies such as context-aware, multimedia contents and cloud computing in information technology (IT) have been on the rise through the technological development of hardware and software. The automatic context-aware technology using multimedia image data requires high computation. Cloud computing has played a role in meeting the requirements of high computation. The automatic context-aware technology utilizing previously developed multimedia image data has lacked user-defined semantic inference capabilities considerably. This paper proposes a Semantic Image Processing Mechanism for Automatic Context-Aware (SIPM-ACA) based on cloud computing. Semantic inference is done through user-created multimedia contents images. Image's semantics are verified by analyzing texts created by other users. Content-Based Image Retrieval (CBIR) is utilized to find the relationship between image similarities. Through this, proactive context-awareness according to user's context can be inferenced.