Showing papers by "Tania Pouli published in 2019"

Context in Photo Albums: Understanding and Modeling User Behavior in Clustering and Selection

Abstract: Recent progress in digital photography and storage availability has drastically changed our approach to photo creation. While in the era of film cameras, careful forethought would usually precede the capture of a photo; nowadays, a large number of pictures can be taken with little effort. One of the consequences is the creation of numerous photos depicting the same moment in slightly different ways, which makes the process of organizing photos laborious for the photographer. Nevertheless, photo collection organization is important both for exploring photo albums and for simplifying the ultimate task of selecting the best photos. In this work, we conduct a user study to explore how users tend to organize or cluster similar photos in albums, to what extent different users agree in their clustering decisions, and to investigate how the clustering-defined photo context affects the subsequent photo-selection process. We also propose an automatic hierarchical clustering solution for modeling user clustering decisions. To demonstrate the usefulness of our approach, we apply it to the task of automatic photo evaluation within photo albums and propose a clustering-based context adaptation.

Low cost color expansion module for expanding colors of an image

Abstract: The module (700) comprises: —a low pass filter for low pass filtering luminance component of the image, —a first look up table (710) storing precomputed values of a first expansion function of only low pass filtered luminance values, —a second look up table (720) storing precomputed values of a second expansion function of only luminance values, —a processor (740, 760) configured to multiply an output of the second look up table corresponding to an input luminance value of a color to expand by an output of said first look up table corresponding to an input low pass filtered luminance value associated with said input luminance value.

Improved inverse tone mapping method and corresponding device

Abstract: The present disclosure involves expanding the dynamic range of low dynamic range images and concerns obtaining a first expansion exponent map for an image, and determining, for each pixel of the image, an expanded luminance value by performing an exponentiation with an expansion exponent value determined from the first expansion exponent map on a luminance value of the pixel, and can include calculating, for the pixel of the image, an expansion correcting value by using a modulating function that takes as input a value representative of the luminance of the pixel and is an increasing function whose increase is higher for higher input values, and subtracting the expansion correcting value from the expansion exponent value of the first expansion exponent map.

Color Management for Cinematic Immersive Experiences

Abstract: Immersive technologies offer new approaches for engaging audiences and providing visual information, whether for entertainment or more practical applications. To ensure that the content maintains the intended appearance across different devices and environments, one of the key challenges is accurate color management. In this paper, we discuss the challenges that have to be overcome to create color-accurate immersive experiences at a cinematic quality level. We propose workflows for efficiently characterizing different virtual and augmented reality devices and review their color reproduction capabilities against current display standards.