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Unformatted text preview: MoVi: Mobile Phone based Video Highlights via Collaborative Sensing Xuan Bao Department of ECE Duke University email@example.com Romit Roy Choudhury Department of ECE Duke University firstname.lastname@example.org ABSTRACT Sensor networks have been conventionally defined as a net- work 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 us- ing 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) us- ing 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. Categories and Subject Descriptors H.3.4 [ Information Storage and Retrieval ]: Systems and Software; C.2.4 [ Computer-Communication Networks ]: Distributed Systems; H.5.5 [ Information Interfaces and Presentations ]: Sound and Music Computing General Terms Design, Experimentation, Performance, Algorithms Keywords Video Highlights, Mobile Phones, Collaborative Sensing, Con- text, Fingerprinting Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. MobiSys10, June 1518, 2010, San Francisco, California, USA. Copyright 2010 ACM 978-1-60558-985-5/10/06 ...$10.00. 1. INTRODUCTION The inclusion of multiple sensors on a mobile phone is changing its role from a simple communication device to a life-centric sensor. Similar trends are influencing other personal gadgets such as the iPods, palm-tops, flip-cameras, and wearable devices. Together, these sensors are beginning to absorb a high-resolution view of the events unfolding around us. For example, users are frequently taking geo- tagged pictures and videos [1, 2], measuring their carbon footprint , monitoring diets , creating audio journals and tracking road traffic [5,6]. With time, these devices areand tracking road traffic [5,6]....
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