Photographic expert-like capturing by analyzing scenes with representative image set

D. Chung; S. Kim; J. Bae; S. Lee

doi:10.1117/12.806133

19 January 2009 Photographic expert-like capturing by analyzing scenes with representative image set

D. Chung, S. Kim, J. Bae, S. Lee

Proceedings Volume 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques; 72520O (2009) https://doi.org/10.1117/12.806133
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

In this work we propose a method to build digital still cameras that can take pictures of a given scene with the knowledge of photographic experts, professional photographers. Photographic expert' knowledge means photographic experts' camera controls, i.e. shutter speed, aperture size, and ISO value for taking pictures of a given scene. For the implementation of photographic experts' knowledge we redefine the Scene Mode of currently commercially available digital cameras. For example instead of a single Night Scene Mode in conventional digital cameras, we break it into 76 scene modes with the Night Scene Representative Image Set. The idea of the night scene representative image set is the image set which can cover all the cases of night scene with respect to camera controls. Meanwhile to appropriate picture taking of all the complex night scene cases, each one of the scene representative image set comes along with corresponding photographic experts' camera controls such as shutter speed, aperture size, and ISO value. Initially our work pairs off a given scene with one of our redefined scene modes automatically, which is the realization of photographic experts' knowledge. With the scene representative set we use likelihood analysis for the given scene to detect whether it is within the boundary of the representative set or not. If the given scene is classified within the representative set it is proceeded to calculate the similarities with comparing the correlation coefficient between the given scene and each of the representative images. Finally the camera controls for the most similar one of the representative image set is used for taking picture of the given scene, with finer tuning with respect to the degree of the similarities.

Citation Download Citation

D. Chung, S. Kim, J. Bae, and S. Lee "Photographic expert-like capturing by analyzing scenes with representative image set", Proc. SPIE 7252, Intelligent Robots and Computer Vision XXVI: Algorithms and Techniques, 72520O (19 January 2009); https://doi.org/10.1117/12.806133

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available