Prediction of a Human Facial Image by ANN using Image Data and its Content on Web Pages
Choosing the right metadata is a critical, as good
information (metadata) attached to an image will facilitate its
visibility from a pile of other images. The image-s value is enhanced
not only by the quality of attached metadata but also by the technique
of the search. This study proposes a technique that is simple but
efficient to predict a single human image from a website using the
basic image data and the embedded metadata of the image-s content
appearing on web pages. The result is very encouraging with the
prediction accuracy of 95%. This technique may become a great
assist to librarians, researchers and many others for automatically and
efficiently identifying a set of human images out of a greater set of
images.
[1] Heery R, Powell A, Day M. "Metadata. Library Information Technology
Centre," South Bank University, London, 1997(Library & Information
Briefings,85)
[2] Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning
Tools and Techniqueues. Morgan Kaufmann Publishers, San Francisco,
second edition, 2005
[3] Robert S. Taylor, "Information use environments," In progress in
Communication Science, ed. B. Dervin and M.J. Voigt. Norwood, New
Jersey: Alblex Publishing, 1991.
[4] Arlene G. Taylor and Daniel N.Joudrey, "The organization of
information," 3rd ed. Westport, Conn.: Libraries Unlimited, 2009, pp.
96-103.
[5] R. Chellappa, C.L.Wilson, and S.Sirohey, "Human and machine
recognition of faces: a survey", IEEE Trans. Digital Object Identifier,
Vol. 83, pp. 705-741, May 1995.
[6] Ming Hsuan Yang, David J. Kriegman, and Narendra Ahuja, "Detecting
Face in Images: A Survey," IEEE Trans. Pattern Analysis and Machine
intelligence, Vol. 24, pp. 34-58, Jan. 2002.
[7] Stuart L. Weibel, "The State of the Dublin Core Metadata Initiative
1999", in D-Lib Magazine April 1999, Vol. 5.
[8] Betty Furrie, "Understanding MARC Bibliographic: Machine-Readable
Cataloging," 7th ed. Cataloging Distribution Service, pp. 1-29, Apr.
2003.
[9] Ben Kessler, "Encoding Works and Images: The Story Behind VRA
core 4.0," Feature Articles VRA Bulletin, Vol. 34, No.1, Spring. 2007.
[10] G. Antoniol, G. Casazza, M.D. Penta, and R. Fiutem, "Object-oriented
design pattern recovery," Journal of Systems and Software, pp. 181-196,
2001.
[11] A. Pentland and M. Turk, "Face recognition using eigenfaces," IEEE
Computer Vision and Pattern Recognition, vol. 4, pp. 586-591, Jun
1991.
[12] M-H Yang, D. Kriegman and N. Ahuja, "Detecting Face in Images : A
Survey ", IEEE Trans, Pattern Analysis and Machine Intelligence, vol.
24, no. 1, pp. 34-58, Jan. 2002
[13] Kah Kay Sung and Tomaso Poggio, "Example-based learning for viewbased
human face detection," IEEE Trans. Pattern Analysis and Machine
Intelligence, vol. 20, pp. 39-51, Jan. 1998.
[14] Paul Viola and Michael J. Jones, "Robust real-time object detection,"
International Journal of Computer Vision, Feb. 2001.
[15] Choochaiwattana W., Niranartlumphong W., and Spring M.B., "Web
image classification algorithm: a heuristic rule-based approach," ITA07,
The Second International Conference on Internet Technologies,
Wrexham, North East Wales, UK September 4-7, 2007.
[16] F. Soulie, E. Viennet, and B. Lamy, "Multi-Modular NeuralNetwork
Architectures: Pattern Recognition Applications inoptical character
Recognition and Human Face Recognition," Int-l J. Pattern Recognition
and Artificial Intelligence, vol. 7, no. 4, pp. 721-755, 1993.
[17] S. P. Bingulac, "On the compatibility of adaptive controllers (Published
Conference Proceedings style)," in Proc. 4th Annu. Allerton Conf.
Circuits and Systems Theory, New York, 1994, pp. 8-16.
[18] Henry A. Rowley, Shumeet Baluja, Takeo Kanade, "Neural Network-
Based Face Detection," IEEE Trans. Pattern Analysis and Machine
Intelligence, vol. 20, no. 1, pp. 23-38, Jan. 1998.
[19] G. R. Faulhaber, "Design of service systems with priority reservation,"
in Conf. Rec. 1995 IEEE Int. Conf. Communications, pp. 3-8.
[20] Available: http://lexitron.nectec.or.th/2009_1/
[21] Stuart Weibel, "The State of the Dublin Core Metadata Initiative," vol.
5. D-Lib Magazine, Apr. 1999. Available:
http://www.dlib.org/dlib/april99/04weibel.html
[22] Renato Iannella, "Metadata: Enabling the Internet," Available:
http://www.ifla.org.sg/documents/libraries/cataloging/metadata/ianr1.pdf
[23] International Federation of Library Association and Institutions (IFLA),
Guidance on the structure, content, and application of descriptive
metadata records for digital resource and collections". Cataloguing
working group the use of Metadata schemes, 2005.
[1] Heery R, Powell A, Day M. "Metadata. Library Information Technology
Centre," South Bank University, London, 1997(Library & Information
Briefings,85)
[2] Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning
Tools and Techniqueues. Morgan Kaufmann Publishers, San Francisco,
second edition, 2005
[3] Robert S. Taylor, "Information use environments," In progress in
Communication Science, ed. B. Dervin and M.J. Voigt. Norwood, New
Jersey: Alblex Publishing, 1991.
[4] Arlene G. Taylor and Daniel N.Joudrey, "The organization of
information," 3rd ed. Westport, Conn.: Libraries Unlimited, 2009, pp.
96-103.
[5] R. Chellappa, C.L.Wilson, and S.Sirohey, "Human and machine
recognition of faces: a survey", IEEE Trans. Digital Object Identifier,
Vol. 83, pp. 705-741, May 1995.
[6] Ming Hsuan Yang, David J. Kriegman, and Narendra Ahuja, "Detecting
Face in Images: A Survey," IEEE Trans. Pattern Analysis and Machine
intelligence, Vol. 24, pp. 34-58, Jan. 2002.
[7] Stuart L. Weibel, "The State of the Dublin Core Metadata Initiative
1999", in D-Lib Magazine April 1999, Vol. 5.
[8] Betty Furrie, "Understanding MARC Bibliographic: Machine-Readable
Cataloging," 7th ed. Cataloging Distribution Service, pp. 1-29, Apr.
2003.
[9] Ben Kessler, "Encoding Works and Images: The Story Behind VRA
core 4.0," Feature Articles VRA Bulletin, Vol. 34, No.1, Spring. 2007.
[10] G. Antoniol, G. Casazza, M.D. Penta, and R. Fiutem, "Object-oriented
design pattern recovery," Journal of Systems and Software, pp. 181-196,
2001.
[11] A. Pentland and M. Turk, "Face recognition using eigenfaces," IEEE
Computer Vision and Pattern Recognition, vol. 4, pp. 586-591, Jun
1991.
[12] M-H Yang, D. Kriegman and N. Ahuja, "Detecting Face in Images : A
Survey ", IEEE Trans, Pattern Analysis and Machine Intelligence, vol.
24, no. 1, pp. 34-58, Jan. 2002
[13] Kah Kay Sung and Tomaso Poggio, "Example-based learning for viewbased
human face detection," IEEE Trans. Pattern Analysis and Machine
Intelligence, vol. 20, pp. 39-51, Jan. 1998.
[14] Paul Viola and Michael J. Jones, "Robust real-time object detection,"
International Journal of Computer Vision, Feb. 2001.
[15] Choochaiwattana W., Niranartlumphong W., and Spring M.B., "Web
image classification algorithm: a heuristic rule-based approach," ITA07,
The Second International Conference on Internet Technologies,
Wrexham, North East Wales, UK September 4-7, 2007.
[16] F. Soulie, E. Viennet, and B. Lamy, "Multi-Modular NeuralNetwork
Architectures: Pattern Recognition Applications inoptical character
Recognition and Human Face Recognition," Int-l J. Pattern Recognition
and Artificial Intelligence, vol. 7, no. 4, pp. 721-755, 1993.
[17] S. P. Bingulac, "On the compatibility of adaptive controllers (Published
Conference Proceedings style)," in Proc. 4th Annu. Allerton Conf.
Circuits and Systems Theory, New York, 1994, pp. 8-16.
[18] Henry A. Rowley, Shumeet Baluja, Takeo Kanade, "Neural Network-
Based Face Detection," IEEE Trans. Pattern Analysis and Machine
Intelligence, vol. 20, no. 1, pp. 23-38, Jan. 1998.
[19] G. R. Faulhaber, "Design of service systems with priority reservation,"
in Conf. Rec. 1995 IEEE Int. Conf. Communications, pp. 3-8.
[20] Available: http://lexitron.nectec.or.th/2009_1/
[21] Stuart Weibel, "The State of the Dublin Core Metadata Initiative," vol.
5. D-Lib Magazine, Apr. 1999. Available:
http://www.dlib.org/dlib/april99/04weibel.html
[22] Renato Iannella, "Metadata: Enabling the Internet," Available:
http://www.ifla.org.sg/documents/libraries/cataloging/metadata/ianr1.pdf
[23] International Federation of Library Association and Institutions (IFLA),
Guidance on the structure, content, and application of descriptive
metadata records for digital resource and collections". Cataloguing
working group the use of Metadata schemes, 2005.
@article{"International Journal of Information, Control and Computer Sciences:54017", author = "Chutimon Thitipornvanid and Siripun Sanguansintukul", title = "Prediction of a Human Facial Image by ANN using Image Data and its Content on Web Pages", abstract = "Choosing the right metadata is a critical, as good
information (metadata) attached to an image will facilitate its
visibility from a pile of other images. The image-s value is enhanced
not only by the quality of attached metadata but also by the technique
of the search. This study proposes a technique that is simple but
efficient to predict a single human image from a website using the
basic image data and the embedded metadata of the image-s content
appearing on web pages. The result is very encouraging with the
prediction accuracy of 95%. This technique may become a great
assist to librarians, researchers and many others for automatically and
efficiently identifying a set of human images out of a greater set of
images.", keywords = "Metadata, Prediction, Multi-layer perceptron,
Human facial image, Image mining.", volume = "3", number = "8", pages = "1957-5", }
