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MoVi: Mobile Phone based Video Highlights via Collaborative Sensing

机译:MoVi:通过协作感应基于手机的视频集锦

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Sensor networks have been conventionally defined as a network of sensor motes that collaboratively detect events and report them to a remote monitoring station. This paper makes an attempt to extend this notion to the social context by using mobile phones as a replacement for motes. We envision a social application where mobile phones collaboratively sense their ambience and recognize socially "interesting" events. The phone with a good view of the event triggers a video recording, and later, the video-clips from different phones are "stitched" into a video highlights of the occasion. We observe that such a video highlights is akin to the notion of event coverage in conventional sensor networks, only the notion of "event" has changed from physical to social. We have built a Mobile Phone based Video Highlights system (MoVi) using Nokia phones and iPod Nanos, and have experimented in real-life social gatherings. Results show that MoVi-generated video highlights (created offline) are quite similar to those created manually, (i.e., by painstakingly editing the entire video of the occasion). In that sense, MoVi can be viewed as a collaborative information distillation tool capable of filtering events of social relevance.
机译:传统上,传感器网络已定义为可协同检测事件并将其报告给远程监控站的传感器节点网络。本文尝试通过使用移动电话代替尘埃来将这一概念扩展到社会环境。我们设想了一种社交应用程序,其中移动电话可以协同感知其环境并识别社交“有趣”事件。能够很好地查看事件的电话会触发视频录制,然后,将来自不同电话的视频剪辑“缝制”为该场合的视频要点。我们观察到,这样的视频集锦类似于常规传感器网络中事件覆盖的概念,只是“事件”的概念已从物理变为社交。我们已经使用诺基亚电话和iPod Nanos建立了基于移动电话的视频集锦系统(MoVi),并在现实生活中进行了社交聚会试验。结果表明,由MoVi生成的视频精彩片段(离线创建)与手动创建的精彩片段非常相似(即,通过精心编辑整个场合的视频)。从这个意义上讲,MoVi可以被视为能够过滤具有社交意义的事件的协作信息提炼工具。

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