Image classification using capture-location-sequence...

Image analysis – Pattern recognition – Classification

Reexamination Certificate

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Details

C382S278000, C707S748000

Reexamination Certificate

active

08055081

ABSTRACT:
Classification of a group of temporally related images is disclosed, wherein a capture-location sequence is identified from the group of temporally related images. The capture-location-sequence information, which is associated collectively with the capture-location sequence, is compared with each of a plurality of sets of predetermined capture-location-sequence characteristics. Each set is associated with a predetermined classification. An identified classification associated with the group of temporally related images is identified based at least upon results from the comparing step; and the identified classification is stored in a processor-accessible memory system.

REFERENCES:
patent: 6819783 (2004-11-01), Goldberg et al.
patent: 7580952 (2009-08-01), Logan et al.
patent: 7680340 (2010-03-01), Luo et al.
patent: 7813560 (2010-10-01), Kraus et al.
patent: 7860320 (2010-12-01), Luo et al.
patent: 2004/0064339 (2004-04-01), Shiota et al.
patent: 2004/0208365 (2004-10-01), Loui et al.
patent: 2005/0105775 (2005-05-01), Luo et al.
patent: 2005/0128305 (2005-06-01), Hamasaki et al.
patent: 2006/0104520 (2006-05-01), Kraus et al.
patent: 2006/0221779 (2006-10-01), Matsushita et al.
patent: 2007/0081813 (2007-04-01), Hong et al.
patent: 2007/0297683 (2007-12-01), Luo et al.
patent: 2008/0049976 (2008-02-01), Isomura et al.
patent: 2008/0089590 (2008-04-01), Isomura et al.
patent: 2008/0089592 (2008-04-01), Isomura
patent: 2008/0205771 (2008-08-01), Kraus et al.
patent: 2010/0111428 (2010-05-01), Yu et al.
Lazebnik et al., Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, pp. 1-8, Jun. 2006.
Zhu et al., Multi-class AdaBoost, Jan. 12, 2006, pp. 0-20.
Li et al., What, where and who? Classifying events by scene and object recognition, pp. 1-7, Oct. 2007.
Liao et al., Extracting Places and Activities from GPS Traces Using Hierarchical Codnitional Random Fields, pp. 1-20, 2005.

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