Augmented AVI video file for road surveying

This paper presents a novel video augmentation approach: a video recording of a real entity augmented by structured data. This augmented video is a self-contained entity integrating values of perceptible and non-perceptible attributes of the same real entity. It simplifies data search, storage and management. Streaming, sharing, collaboration and synchronization are also simplified by the fact that the structured data (so-called augmented data) are integrated in the video file and therefore only one file needs to be manipulated. Our approach was applied to address the issues which road engineers experience while using the ROad Measurement and Data Acquisition System (ROMDAS). The ROMDAS system collects and analyses the road-condition state through video recordings and the data corresponding acquired by specific measuring devices. Currently, however, road engineers have to search the videos manually in order to find details of interest provided by the analysis of the data measured due to the separation of the video from the data. The ROMDAS system manages a large collection of road-condition data. It does not offer history management of video recordings of the same road captured at different time. We present this hybrid video augmentation system: the Augmented Video stream Framework (AVF). It allows creation, search, history management and playback of such augmented video files for effective road surveying based on the discrete data recorded in parallel to the video recordings. The AVF provides road engineers with effective and more comfortable perceptible and non-perceptible data search, storage and history management to be used for (collaborative) road inspection and maintenance.

[1]  Shigetomo Kimura,et al.  A Compression Method Designed for SMTP over TLS , 2006, ICOIN.

[2]  Helen Feddema.  Microsoft Access Version 2002 Inside Out , 2001 .

[3]  Charles A. Bouman,et al.  Improved JPEG Decompression of Document Images Based on Image Segmentation , 2007, 2007 IEEE/SP 14th Workshop on Statistical Signal Processing.

[4]  Teresa Chambel,et al.  Active video watching using annotation , 1999, MULTIMEDIA '99.

[5]  G. Student,et al.  Correlation Analysis Between International Roughness Index (IRI) and Pavement Distress by Neural Network , 2003 .

[6]  Ulrich Neumann,et al.  Cognitive, performance, and systems issues for augmented reality applications in manufacturing and maintenance , 1998, Proceedings. IEEE 1998 Virtual Reality Annual International Symposium (Cat. No.98CB36180).

[7]  Jane Hunter,et al.  Annotating Relationships Between Multiple Mixed-Media Digital Objects by Extending Annotea , 2007, ESWC.

[8]  Celso A. S. Santos,et al.  Using CANNOT framework to generate video based applications , 2005, Third Latin American Web Congress (LA-WEB'2005).

[9]  Maarten Vergauwen,et al.  Augmented Reality Using Uncalibrated Video Sequences , 2000, SMILE.

[10]  C. F. Goldfarb.  Standards-HyTime: a standard for structured hypermedia interchange , 1991 .

[11]  S. B. Mihic,et al.  Data Structures for Road Condition AVI File Video Augmentation , 2009 .

[12]  Dick C. A. Bulterman,et al.  The Amsterdam hypermedia model: adding time and context to the Dexter model , 1994, CACM.

[13]  Tim Monroe.  QuickTime Toolkit Volume 2: Advanced Movie Playback and Media Types , 2004 .

[14]  Nicola Ferro,et al.  A formal model of annotations of digital content , 2007, TOIS.

[15]  Mustafa Al-Fayoumi,et al.  An Efficient RSA Public Key Encryption Scheme , 2008, Fifth International Conference on Information Technology: New Generations (itng 2008).

[16]  Arbee L. P. Chen,et al.  Constructing a Bowling Information System with Video Content Analysis , 2003, MMDB '03.

[17]  Mohand-Said Hacid,et al.  MPEG-7 based description schemes for multi-level video content classification , 2004, Image Vis. Comput..

[18]  Mark Pesce.  Programming Microsoft DirectShow for Digital Video and Television , 2003 .

[19]  Matthias Finke,et al.  Knowledge acquisition by hypervideo design: An instructional program for university courses. , 2006 .

[20]  Alondra Chamorro,et al.  Data collection technologies for road management , 2006 .

[21]  Rémi Ronfard,et al.  Audiovisual-based hypermedia authoring: using structured representations for efficient access to AV documents , 1999, HYPERTEXT '99.

[22]  Linden deCarmo.  Core Java Media Framework , 1999 .

[23]  John Zimmerman,et al.  Media Augmentation and Personalization Through Multimedia Processing and Information Extraction , 2004, Personalized Digital Television.

[24]  Frank M. Shipman,et al.  Hyper-hitchcock: authoring interactive videos and generating interactive summaries , 2003, MULTIMEDIA '03.

[25]  Mark D. Pesce.  Programming Microsoft DirectShow for Digital Video, Television, and DVD , 2002 .