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Traditional routing algorithms for calculating the fastest or shortest path become ineffective or difficult to use when both source and destination are dynamic or unknown. To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add semantics to the conventional routing. Our proposed system includes a Semantic Multimedia Routing Algorithm (SMRA) that uses an indexed spatial bigdoi:10.1145/2733373.2807985 dblp:conf/mm/RehmanLMRSAQB15 fatcat:fm2no7qudngw7frkfdwijx6g54