Gaze-J2K: gaze-influenced image coding using eye trackers and JPEG 2000

• Autorzy: Nguyen A. , Chandran V. , Sridharan S.
• Języki publikacji: EN

Abstrakty

EN

The use of visual content in applications of the digital computer has increased dramatically with the advent of the Internet and world wide web. Image coding standards such as JPEG 2000 have been developed to provide scalable and progressive compression of imagery. Advances in image and video analysis are also making human-computer interaction multi-modal rather than through the use of a keyboard or mouse. An eye tracker is an example input device that can be used by an application that displays visual content to adapt to the viewer. Many features are required of the format to facilitate this adaptation, and some are already part of image coding standards such as JPEG 2000. This paper presents a system incorporating the use of eye tracking and JPEG 2000, called Gaze-J2K, to allow a customised encoding of an image by using a user's gaze pattern. The gaze pattern is used to automatically determine and assign importance to fixated regions in an image, and subsequently constrain the encoding of the image to these regions.

Słowa kluczowe

EN

eye tracking; image compression; importance map; JPEG 2000; region of interest

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2006
• Tom: nr 1
• Strony: 3--10
• Opis fizyczny: Bibliogr. 8 poz., tab.

Twórcy

autor

Nguyen A.

autor

Chandran V.

autor

Sridharan S.

• Image and Video Research Laboratory, School of Engineering Systems, Queensland University of Technology, GPO Box 2434, Brisbane QLD 4001, Australia,

Bibliografia

• [1] “Information technology – JPEG 2000 image coding system – Part 1: Core coding system,” ISO/IEC 15444-1, Aug. 2002.
• [2] D. S. Taubman and M.W. Marcellin, JPEG 2000: Image Compression Fundamentals, Standards, and Practice. Boston: Kluwer, 2002.
• [3] EyeTech Digital Systems, “Quick glance eye-gaze tracking system”, 2005, http://www.eyetechds.com/
• [4] A. P. Bradley and F. W. M. Stentiford, “JPEG 2000 and region of interest coding,” in Proc. Digit. Im. Comput. Techn. Appl., Melbourne, Australia, 2002, pp. 303–308.
• [5] A. Nguyen, V. Chandran, and S. Sridharan, “Visual attention based ROI maps from gaze tracking data,” in Proc. Int. Conf. Im. Proces., Singapore, 2004, pp. 3495–3498.
• [6] D. Taubman, “Kakadu software: a comprehensive framework for JPEG 2000”, 2005, http://www.kakadusoftware.com/
• [7] A. Nguyen, V. Chandran, and S. Sridharan, “Importance prioritisation in JPEG 2000 for improved interpretability,” Sig. Proces. Im. Commun., vol. 19, no. 10, pp. 1005–1028, 2004.
• [8] A. Nguyen, “Importance prioritised image coding in JPEG 2000”, Ph.D. thesis, School of Engineering Systems, Queensland University of Technology, Brisbane, Australia, Jan. 2005.