Abstract
Automatic Route Video Summarization based on Image Analysis for Intuitive Touristic Experience
Highlights
Sensing technologies have become important in many fields as seen in the trend of cyberphysical systems (CPS), machine-to-machine (M2M) systems, and the Internet of Things (IoT)
We proposed a video summarization system to support users planning a sightseeing tour.[13]. Figure 1 shows the procedure of the tourism video summarization system
We proposed a video summarization system[13] that aims to create curation videos using the sightseeing videos taken by ordinary people (CGM) when tourists plan their sightseeing tours
Summary
Sensing technologies have become important in many fields as seen in the trend of cyberphysical systems (CPS), machine-to-machine (M2M) systems, and the Internet of Things (IoT). Those technologies are used for services in tourism Various information such as texts, photos, maps, and videos collected in a whole city by various IoT devices are used for guiding, recommendation, and planning.[1,2,3,4,5,6,7,8,9,10,11] Tourists can watch many videos about sightseeing on the Internet through social networking services or YouTube. According to a study by Google,(12) 65% of leisure travelers are inspired by online sources, most notably through social/video sites and searches, while 42% of travelers are inspired to travel by YouTube content It means that at least 42% of tourists watch videos to choose a sightseeing spot. Over 70% of participants answered that the summarized video made by our method was effective for planning a tour
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