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Cloud-Based Mobile Experience Sharing Through Automatic Multimedia Blogging

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Mobile Cloud Visual Media Computing

Abstract

The rapid developments of smart mobile devices, wireless networks, and cloud computing have extended mobile phones with much more functionalities rather than only being used as voice communication tools. With an increasing trend, more and more people are using camera phones to record and share their daily experiences due to its mobility and realtiming. Camera phones are true multimedia devices capable of managing acquisition, processing, transmission, and presentation of multiple modal data, such as image, video, audio, and text information, as well as rich contextual information like location, direction, and velocity from the equipped sensors. All these provide sufficient information and channel to effectively share peoples experiences. However, due to the complexity and structureless of the raw multimedia and contextual data, experience sharing is still a nontrivial task. There is still lack of efficient tools that supports mobile, rapid, and realtime experience sharing. In this paper, we will propose a mobile + cloud system enabling rapid and near-realtime experience sharing through automatic blogging and microblogging, which are based on multimodal media content analyses and syntheses. An experimental system shows the effectiveness and efficiency of the proposed scheme.

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Notes

  1. 1.

    Alternatively we may also detect the fact of visited without taking photos through GPS traces, and may also be reflected in the text part of the blog.

  2. 2.

    As both location information and photo content are used to select SOIs in our system, the selected SOIs are accurate and could hardly be imprecise, though it is possible that there will be slight inaccuracies in practical application because of the proximity of two spots.

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Correspondence to Hongzhi Li .

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Li, H., Hua, XS. (2015). Cloud-Based Mobile Experience Sharing Through Automatic Multimedia Blogging. In: Hua, G., Hua, XS. (eds) Mobile Cloud Visual Media Computing. Springer, Cham. https://doi.org/10.1007/978-3-319-24702-1_12

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  • DOI: https://doi.org/10.1007/978-3-319-24702-1_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24700-7

  • Online ISBN: 978-3-319-24702-1

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