UCF EEL 6788 - MoVi - Mobile Phone based Video Highlights via Collaborative Sensing (39 pages)

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MoVi - Mobile Phone based Video Highlights via Collaborative Sensing



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MoVi - Mobile Phone based Video Highlights via Collaborative Sensing

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Lecture Notes


Pages:
39
School:
University of Central Florida
Course:
Eel 6788 - Advanced Topics in Computer Networks
Advanced Topics in Computer Networks Documents

Unformatted text preview:

MoVi Mobile Phone based Video Highlights via Collaborative Sensing Xuan Bao Department of ECE Duke University James Pittman February 9 2011 EEL 6788 Romit Roy Choudhury Department of ECE Duke University Outline Introduction Assumptions System Overview Challenges Design elements Evaluation Experiments and Discussion of Results Limitations and Conclusions 2 Introduction Basic Concepts Replace sensor motes with mobile phones in social settings Sensors in these settings will record a large amount of continuous data How do you distill all of the data from a group of sensors in a social setting Can mobile phone sensors in a social setting be used to create highlights of the occasion 3 Introduction Basic Concepts Develop trigger concepts to know when to sense with phones Derive values for sensed data to determine which sensor is recording the best data Combine system based sensor results to create Highlights of social occasions Compare MoVi Highlights to human created manual Highlights 4 Assumptions To make this system work assumptions about the situation are required 1 People are wearing a camera 2 People are wearing a sensor mobile phone These can be the same device 5 System Overview The MoVi system has 4 parts 1 Group Management Analyze data to compute social groups among phones 2 Trigger Detection Scan the data for potentially interesting events 6 System Overview The MoVi system has 4 parts 3 View Selector Pick a sensor or group with the best view of the event 4 Event Segmentation Extract the appropriate section of video that fully captures the event 7 System Overview Client Server Architecture for MoVi 8 Challenges Group Management 1 Correctly partitioning the mobile devices into groups 2 Identifying social zones to based on social context 3 Mapping the phones into the zones and into groups and keeping them updated 9 Challenges Event Detection 1 Recognizing which events are socially interesting 2 Deriving rules to classify the events as interesting 10 Challenges View



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