Image Categorization using Color Blobs in a Mobile Environment
This paper generalizes the basic idea of blobs in preattentive perception using color information. This is usedas the base of a basic classification of low resolution pictures taken with mobile phones. This classification, theblob‐like representation of the image and other information in user's...
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| Vydáno v: | Computer Graphics Forum (EG 2003) Ročník 22; číslo 3; s. 427 - 432 |
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| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Oxford, UK
Blackwell Publishing, Inc
01.09.2003
Wiley |
| ISSN: | 0167-7055, 1467-8659 |
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| Abstract | This paper generalizes the basic idea of blobs in preattentive perception using color information. This is usedas the base of a basic classification of low resolution pictures taken with mobile phones. This classification, theblob‐like representation of the image and other information in user's context, such as GPS information, can beused in the presented framework as the basis of a new graphical interface for HCI (Human Computer Interaction).Similar systems whether they work with global properties of the image, which leads to inaccurate results, or withcomplex segmentation process that fails to capture expected objects in the scene. Most of those systems do notpay attention on other information involved in the creation of the image, such as time or location. We describe asystem which uses geographical information associated with a picture in a mobile phone terminal, and with a fastsegmentation based on color categorization. |
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| AbstractList | This paper generalizes the basic idea of blobs in preattentive perception using color information. This is usedas the base of a basic classification of low resolution pictures taken with mobile phones. This classification, theblob‐like representation of the image and other information in user's context, such as GPS information, can beused in the presented framework as the basis of a new graphical interface for HCI (Human Computer Interaction).Similar systems whether they work with global properties of the image, which leads to inaccurate results, or withcomplex segmentation process that fails to capture expected objects in the scene. Most of those systems do notpay attention on other information involved in the creation of the image, such as time or location. We describe asystem which uses geographical information associated with a picture in a mobile phone terminal, and with a fastsegmentation based on color categorization. This paper generalizes the basic idea of blobs in preattentive perception using color information. This is used as the base of a basic classification of low resolution pictures taken with mobile phones. This classification, the blob-like representation of the image and other information in user's context, such as GPS information, can be used in the presented framework as the basis of a new graphical interface for HCI (Human Computer Interaction). Similar systems whether they work with global properties of the image, which leads to inaccurate results, or with complex segmentation process that fails to capture expected objects in the scene. Most of those systems do not pay attention on other information involved in the creation of the image, such as time or location. We describe a system which uses geographical information associated with a picture in a mobile phone terminal, and with a fast segmentation based on color categorization. |
| Author | Gavilan Ruiz, David Nakajima, Masayuki Takahashi, Hiroki |
| Author_xml | – sequence: 1 givenname: David surname: Gavilan Ruiz fullname: Gavilan Ruiz, David organization: Tokyo Institute Of Technology – sequence: 2 givenname: Hiroki surname: Takahashi fullname: Takahashi, Hiroki organization: Tokyo Institute Of Technology – sequence: 3 givenname: Masayuki surname: Nakajima fullname: Nakajima, Masayuki organization: Tokyo Institute Of Technology |
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| References_xml | – reference: J. von Kries. Beitrag zur physiologie der gesicht-sempfindung. In Arch. Anat. Physiol. , volume 2, pages505-524, 1878. – reference: T. Lindeberg. Scale-Space Theory in Computer Vision. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, Dordrecht, Netherlands, 1994. – reference: K. Okajima, A.R. Robertson, and G.H. Fielder. Aquantitative network model for color categorization. Color Research & Application, 27(4):225-232, August 2002. – reference: J. D. Paola and Schowengerdt. A review and analysis of backpropagation neural networks for classification of remotely sensed multispectral imagery. International Journal of Remote Sensing, 16(16):3033-3058, November 10 1995. – reference: Robert M. Haralick and Linda G. Shapiro. Computer and Robot Vision, pages 28-48. Addison-Wesley, 1992. – reference: E. H. Land and J. J. McCann. Lightness and the retinex theory. Journal of the Optical Society of America, 61(1):1-11, 1971. – reference: G. West and M.H. Brill. Necessary and sufficient conditions for von kries chromatic adaptation to give colour constancy. Journal of Mathematical Biology, 15: 249-258, 1982. QH.J8413 in MIT Science Library. – reference: M. Flickner, H. Sawhney, W. Niblack, and J. Ashley. Query by image and video content: The qbic system. IEEE Computer, 28(9):23-32, September 1995. – volume: 16 start-page: 3033 issue: 16 year: November 10 1995 end-page: 3058 article-title: A review and analysis of backpropagation neural networks for classification of remotely sensed multispectral imagery publication-title: International Journal of Remote Sensing – start-page: 763 year: 2001 end-page: 770 – volume: 61 start-page: 1 issue: 1 year: 1971 end-page: 11 article-title: Lightness and the retinex theory publication-title: Journal of the Optical Society of America – start-page: 93 year: February 2001 end-page: 96 – volume: 2 start-page: 505 year: 1878 end-page: 524 article-title: Beitrag zur physiologie der gesicht‐sempfindung publication-title: Arch. Anat. Physiol – start-page: 750 year: 1997 end-page: 755 – volume: 15 start-page: 249 year: 1982 end-page: 258 article-title: Necessary and sufficient conditions for von kries chromatic adaptation to give colour constancy publication-title: Journal of Mathematical Biology – start-page: 28 year: 1992 end-page: 48 – volume: 27 start-page: 225 issue: 4 year: August 2002 end-page: 232 article-title: Aquantitative network model for color categorization publication-title: Color Research & Application – start-page: 97 year: January 2002 end-page: 102 – start-page: 525 year: 2001 end-page: 531 – start-page: 367 year: september 2002 end-page: 378 – year: 24, 1994 – year: September 1989 – year: September 2001 – start-page: 290 year: 2000 end-page: 294 – year: 1996 – start-page: 97 year: February 2001 end-page: 102 – year: 1994 – volume: 28 start-page: 23 issue: 9 year: September 1995 end-page: 32 article-title: Query by image and video content: The qbic system publication-title: IEEE Computer – year: 1998 – year: June 2002 – year: 1999 – ident: e_1_2_5_19_2 – ident: e_1_2_5_10_2 – ident: e_1_2_5_8_2 doi: 10.1364/JOSA.61.000001 – start-page: 525 volume-title: International Conference on Computer Vision year: 2001 ident: e_1_2_5_12_2 – ident: e_1_2_5_9_2 doi: 10.1007/978-1-4757-6465-9 – volume-title: IEEE Signal Processing Magazine year: 2001 ident: e_1_2_5_23_2 – ident: e_1_2_5_21_2 – ident: e_1_2_5_17_2 doi: 10.1515/cclm.1994.32.2.97 – ident: e_1_2_5_6_2 – volume: 2 start-page: 505 year: 1878 ident: e_1_2_5_24_2 article-title: Beitrag zur physiologie der gesicht‐sempfindung publication-title: Arch. Anat. Physiol – ident: e_1_2_5_3_2 doi: 10.1109/CVPR.1997.609410 – volume-title: Third International Conference on Visual Information Systems year: 1999 ident: e_1_2_5_2_2 – ident: e_1_2_5_4_2 doi: 10.1109/2.410146 – volume-title: The Computation of Color year: 1989 ident: e_1_2_5_7_2 – ident: e_1_2_5_18_2 doi: 10.1109/CVPR.1994.323774 – ident: e_1_2_5_20_2 – start-page: 28 volume-title: Computer and Robot Vision year: 1992 ident: e_1_2_5_5_2 – ident: e_1_2_5_14_2 doi: 10.1002/col.10060 – ident: e_1_2_5_22_2 doi: 10.1109/ICCV.2001.937604 – start-page: 367 volume-title: 9th International Symposium on Remote Sensing year: 2002 ident: e_1_2_5_13_2 – ident: e_1_2_5_16_2 doi: 10.1007/3-540-61750-7 – ident: e_1_2_5_11_2 – ident: e_1_2_5_26_2 doi: 10.1007/BF00275077 – ident: e_1_2_5_15_2 doi: 10.1080/01431169508954607 – start-page: 290 volume-title: Tencon Proceedings year: 2000 ident: e_1_2_5_25_2 |
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| Title | Image Categorization using Color Blobs in a Mobile Environment |
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