Class-based image enhancement system

Details Class-based image enhancement system Class-based image enhancement system

2011-04-26

2011-04-26

Patel, Kanji (Department: 2624)

Image analysis

Pattern recognition

Classification

C382S254000

Reexamination Certificate

active

07933454

ABSTRACT:
A method for image enhancement includes providing for a semantic class to be assigned to a digital image based on image content, the assigned semantic class being selected from a plurality of semantic classes. The method further includes providing for an aesthetic enhancement to be applied to the image based on image quality of the image and the assigned semantic class, the enhancement including at least one enhancement dimension selected from a plurality of enhancement dimensions.

REFERENCES:
patent: 5347374 (1994-09-01), Fuss et al.
patent: 5357352 (1994-10-01), Eschbach
patent: 5363209 (1994-11-01), Eschbach et al.
patent: 5371615 (1994-12-01), Eschbach
patent: 5414538 (1995-05-01), Eschbach
patent: 5450217 (1995-09-01), Eschbach et al.
patent: 5450502 (1995-09-01), Eschbach et al.
patent: 5802214 (1998-09-01), Eschbach et al.
patent: 6502583 (2003-01-01), Utsugi
patent: 6512846 (2003-01-01), Luo
patent: 6571003 (2003-05-01), Hillebrand et al.
patent: 6573932 (2003-06-01), Adams, Jr. et al.
patent: 6718051 (2004-04-01), Eschbach
patent: 6807313 (2004-10-01), Allen et al.
patent: 6914694 (2005-07-01), Ichikawa et al.
patent: 6977679 (2005-12-01), Tretter et al.
patent: 7035467 (2006-04-01), Nicponski
patent: 7050636 (2006-05-01), Gallagher et al.
patent: 7254285 (2007-08-01), Paek et al.
patent: 7283656 (2007-10-01), Blake et al.
patent: 7505178 (2009-03-01), Erol et al.
patent: 7711211 (2010-05-01), Snowdon et al.
patent: 2002/0172419 (2002-11-01), Lin et al.
patent: 2003/0044178 (2003-03-01), Oberhardt et al.
patent: 2003/0081842 (2003-05-01), Buckley
patent: 2004/0258308 (2004-12-01), Sadovsky et al.
patent: 2005/0168561 (2005-08-01), Furuki et al.
patent: 2006/0228040 (2006-10-01), Gallagher et al.
patent: 2006/0274950 (2006-12-01), Fan et al.
patent: 2007/0005356 (2007-01-01), Perronnin
patent: 2007/0009167 (2007-01-01), Dance et al.
F.Perronnin, C.Dance, G.Csurka, M.Bressan, Adapted Vocabularies for Generic Visual Categorization,ECCV, Part IV, LNCS 3954, pp. 464-475, 2006.
G.Csurka, J.Williamowski, C.R.Dance, F.Perronnin, Incorporating Geometry Information with Weak Classifiers for Improved Generic Visual Categorization,EU Project, LAVA, (IST-2001-34405).
B.Leibe, A.Leonardis, B.Schiele, Combined Object Categorization and Segmentation with an Implicit a Shape Model,In Proc. ECCV Workshop on Statistical Learning in Computer Vision, pp. 17-32, 2004.
G.Csurka, C.Dance, L.Fan, J.Willamowski, C.Bray, Visual Categorization with Bags of Keypoints,In Proc. ECCV International Workshop on Statistical Learning in Computer Vision, 2004.
R.Fergus, P.Perona, A.Zisserman, Object Class Recognition by Unsupervised Scale-Invariant Learning,In Proc. CVPR, vol. 2, pp. 264-271, 2003.
M.Bressan, C.Dance, R.Poirier, D.Arregui, Local Contrast Enhancement,In SPIE, Electronic Imaging, 2007.
J.Sivic, B.C.Russell, A.A.Efros, A.Zisserman, W.T.Freeman, Discovering Objects and Their Location in Images,MIT AI Lab Memo AIM-2005-005, Feb. 2005.
U.S. Appl. No. 11/170,496, filed Jun. 30, 2005, Perronnin.
U.S. Appl. No. 11/311,991, filed Dec. 20, 2005, Willamowski, et al.
U.S. Appl. No. 11/418,949, filed May 5, 2006, Perronnin.
U.S. Appl. No. 11/435,545, filed May 17, 2006, Duan, et al.
U.S. Appl. No. 11/435,588, filed May 17, 2006, Duan, et al.
U.S. Appl. No. 11/524,100, filed Sep. 19, 2006, Perronnin.
U.S. Appl. No. 11/524,236, filed Sep. 19, 2006, Dance, et al.
U.S. Appl. No. 11/637,984, filed Dec. 13, 2006, Digby.
U.S. Appl. No. 11/801,230, filed May 9, 2007, Marchesotti, et al.
P.Quelhas, F.Monay, J.M.Odobez, D.Gatica-Perez, T.Tuytelaars, L.Vangool, Modeling Scene with Local Descriptors and Latent Aspects,In Proc. of the Tenth IEEE ICCV, vol. 1, pp. 883-890, 2005.
E.B.Sudderth, A.Torralba, W.T.Freeman, A.S.Willsky, Describing Visual Scenes Using Transformed Dirichlet Processes,Conference of Neural Information Processing Systems, 2005.
S.Fidler, G.Berginc, A.Leonardis, Hierarchical Statistical Learning of Generic Parts of Object Structure,In Proc. of the 2006 IEEE Computer Society Conference on CVPR, vol. 1, pp. 182-189, 2006.
D.J.Crandall, D.P.Huttenlocher, Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition,ECCV, Part 1, LNCS 3951, pp. 16-29, 2006.
A.Agrawal, B.Triggs, Hyperfeatures—Multilevel Local Coding for Visual Recognition,In Proc. of the 9thEuropean Conference on Computer Vision, 2006.
M.Bressan, G.Csurka, S.Favre, Towards Intent Dependent Image Enhancement: State-of-the-Art and Recent Attempts,XRCE at 2ndInternational Conference on Computer Vision Theory and Applications, Barcelona, Spain, Mar. 8-11, 2007.

Affiliated with

Also associated with

Rating

Class-based image enhancement system does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Class-based image enhancement system, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Class-based image enhancement system will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2631212