Pere Obrador

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In this paper, we address the problem of no-reference quality assessment for digital pictures corrupted with blur. We start with the generation of a large real image database containing pictures taken by human users in a variety of situations, and the conduction of subjective tests to generate the ground truth associated to those images. Based upon this(More)
Information overload is one of today's major concerns. As high-resolution digital cameras become increasingly pervasive, unprecedented amounts of social media are being uploaded to online social networks on a daily basis. In order to support users on selecting the best photos to create an online photo album, attention has been devoted to the development of(More)
In this paper, we explore the role that image composition plays in image aesthetic appeal classification. We propose low-level image composition features that approximate traditional photography composition guidelines, such as simplicity and visual balance (e.g. golden mean, golden triangles). We then use these features to build an image aesthetics(More)
Reliable content-based copy detection algorithms (CBCD) are at the core of effective multimedia data management and copyright enforcement systems. CBCD techniques focus on detecting videos that are identical to or transformed versions of an original video. The fast growth of online video sharing services challenges state-of-the-art copy detection algorithms(More)
  • Pere Obrador
  • 2008 IEEE 10th Workshop on Multimedia Signal…
  • 2008
Image appeal may be defined as the interest that a photograph generates when viewed by human observers, incorporating subjective factors on top of the traditional objective quality measures. User studies were conducted in order to identify the right features to use in an image appeal measure; these studies also revealed that a photograph may be appealing(More)
This paper presents two complementary methods to help in the area of document creation where the document includes color templates (banners, clipart, logos, etc.) as well as photographs. The problems that are being addressed are: given a photograph that a document needs to be built around, extract a good palette of colors that harmonize with the selected(More)
Certain applications require the extraction of patches of color from an image, their size and location. These applications may be: color harmonization algorithms, non-photorealistic rendering, etc. These applications use not too big a palette of colors, and in both cases large areas of homogeneous color are favored along with high detail preserved in the(More)