Location based image classification with map segmentation

Television – Camera – system and detail – Combined image signal generator and general image signal...

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C348S333050

Reexamination Certificate

active

07663671

ABSTRACT:
In methods and systems for classifying capture records, such as images. A collection of capture records is provided. Each capture record has metadata defining a map location. This metadata can be earlier determined from a stream of data transmissions, even if there are gaps in transmission. The provided capture records are clustered into groups based on capture locations. A map, inclusive of the capture locations, is segmented into a plurality of regions based on relative positions of the capture locations associated with each group. The regions are associated with the capture records of respective groups.

REFERENCES:
patent: 5164831 (1992-11-01), Kuchta et al.
patent: 6351556 (2002-02-01), Loui et al.
patent: 6437797 (2002-08-01), Ota
patent: 6504571 (2003-01-01), Narayanaswami et al.
patent: 6606411 (2003-08-01), Loui et al.
patent: 6741864 (2004-05-01), Wilcock et al.
patent: 6757740 (2004-06-01), Parekh et al.
patent: 7526718 (2009-04-01), Samadani et al.
patent: 2001/0015756 (2001-08-01), Wilcock et al.
patent: 2001/0017668 (2001-08-01), Wilcock et al.
patent: 2002/0161720 (2002-10-01), Hamazaki et al.
patent: 2003/0004916 (2003-01-01), Lewis
patent: 2003/0078078 (2003-04-01), King et al.
patent: 2003/0083108 (2003-05-01), King et al.
patent: 2003/0103086 (2003-06-01), Robinson et al.
patent: 2003/0117297 (2003-06-01), Obradovich et al.
patent: 2004/0218895 (2004-11-01), Samadani et al.
patent: 2005/0027712 (2005-02-01), Gargi et al.
patent: WO 02/17567 (2002-02-01), None
“Pattern Recognition Engineering”, by Morton Nadler and Eric P. Smith, John Wiley & Sons, Inc., 1993, pp. 294-328.
Fundamentals of Digital Image Processing, Anil K. Jain, University of California, David, Prentice Hall, Englewood Cliffs, NJ 07632, ISBN 0-13-336165-9, pp. 249-251.
U.S. Appl. No. 10/997,411, “Variance-based Event Clustering” filed on Nov. 17, 2004, by Alexander Loui and Bryan D. Kraus.
U.S. Appl. No. 11/197,243, “Multi-Tiered Image Clustering By Event” filed on Aug. 4, 2005, by Bryan D. Kraus and Alexander Loui, (Continuation-in-Part).
Ming-Yang Chern: “Knowledge-based region classification for locating rural road area in the color scene image”, Networking, Sensing and Control, 2004 IEEE International Conference on Taipei, Taiwan Mar. 21-23, 2004, Piscataway, NJ, USA, IEEE, vol. 2, Mar. 21, 2004, pp. 891-896, XP010705661, ISBN: 0-7803-8193-9.
Kentaro Toyama, Ron Logan, Asta Roseway, P. Anandan: “Geographic Location Tags on Digitial Images”, Microsoft Reserach, [Online] Nov. 2, 2003, XP002420408, Redmond, WA, Retrieved from the Internet: URL :http://wwmx.org/docs/wwmx—acm2003.pdf> [retrieved on Feb. 15, 2007].
Gerald Fritz, Christin Seifert, Lucas Paletta: “Urban Object Recognition from Informative Local Features”, Proceedings from the 2005 IEEE, [Online] Apr. 2005, pp. 131-137, XP002420409, Barcelona, Spain, Retrieved from the Internet: URL :http://ieeexplore.ieee.org/>.
Iwan Ulrich, Illah Nourbakhsh: “Appearance-Based Place Recognition for Topological Localization”, IEEE International Conference on Robotics and Automation, [Online], Apr. 2000, pp. 1023-1029, XP002420410, Pittsburgh, PA, Retrieved from Internet: URL :http://www.es.cmu.edu/{illah/PAPERS/localization.pdf>.
M. Gianinetto, A. Giussani, G.M. Lechi, M. Scaioni: “Fast Mapping” From High Resolution Satellite Images: A Sustainable Approach to Provide Maps for Developing Countries, The International Archive of the Photogrammetry, Remote Senseing and Spatial Information Systems, [Online] Jul. 12, 2004, XP002420411, Istanbul, Turkey, Retrieved from the Internet: URL :http://www.isprs.org/istanbul2004/comm6/papers/676.pdf>.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Location based image classification with map segmentation does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Location based image classification with map segmentation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Location based image classification with map segmentation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4214032

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.