An image-set for identifying multiple regions/levels of interest in digital images

Mustafa Jaber; Mark Bailly; Yuqiong Wang; Eli Saber

doi:10.1117/12.893967

24 September 2011 An image-set for identifying multiple regions/levels of interest in digital images

Mustafa Jaber, Mark Bailly, Yuqiong Wang, Eli Saber

Proceedings Volume 8135, Applications of Digital Image Processing XXXIV; 813510 (2011) https://doi.org/10.1117/12.893967
Event: SPIE Optical Engineering + Applications, 2011, San Diego, California, United States

Abstract

In the field of identifying regions-of-interest (ROI) in digital images, several image-sets are referenced in the literature; the open-source ones typically present a single main object (usually located at or near the image center as a pop-out). In this paper, we present a comprehensive image-set (with its ground-truth) which will be made publically available. The database consists of images that demonstrate multiple-regions-of-interest (MROI) or multiple-levels-of-interest (MLOI). The former terminology signifies that the scene has a group of subjects/objects (not necessarily spatially-connected regions) that share the same level of perceptual priority to the human observer while the latter indicates that the scene is complex enough to have primary, secondary, and background objects. The methodology for developing the proposed image-set is described. A psychophysical experiment to identify MROI and MLOI was conducted, the results of which are also presented. The image-set has been developed to be used in training and evaluation of ROI detection algorithms. Applications include image compression, thumbnailing, summarization, and mobile phone imagery. fluor

Citation Download Citation

Mustafa Jaber, Mark Bailly, Yuqiong Wang, and Eli Saber "An image-set for identifying multiple regions/levels of interest in digital images", Proc. SPIE 8135, Applications of Digital Image Processing XXXIV, 813510 (24 September 2011); https://doi.org/10.1117/12.893967

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