A New Similarity Measure with Deformation Detection of Visual Salient Regions for Image Retargeting
نویسندگان
چکیده
منابع مشابه
A New Similarity Measure with Deformation Detection of Visual Salient Regions for Image Retargeting
Measurement of image similarity is a fundamental issue in both image processing and computer vision and is very important for image retargeting applications, which have drawn much attention in recent years. In this paper, we propose a new similarity measure with deformation detection of visual salient regions for image retargeting. According to the fact that the human visual system is sensitive...
متن کاملSalient Regions for Image Matching
A probabilistic definition of saliency is given in a form suitable for applications to image matching. In order to make this definition, the values of the pixels in pairs of matching regions are modeled using an elliptically symmetric distribution (ESD). The values of the pixels in background pairs of regions are also modeled using an ESD. If a region is given in one image, then the conditional...
متن کاملNew Structural Similarity Measure for Image Comparison
Subjective quality measures based on Human Visual System for images do not agree well with well-known metrics such as Mean Squared Error and Peak Signal to Noise Ratio. Recently, Structural Similarity Measure (SSIM) has received acclaim due to its ability to produce results on a par with Human Visual System. However, experimental results indicate that noise and blur seriously degrade the perfor...
متن کاملA New Similarity Measure with Length Factor for Plagiarism Detection
Different similarity measures are available for comparison of textual data. These similarity measures are used for plagiarism detection. This research paper proposes a new similarity measure. Moreover, this paper proposes to consider length of content for plagiarism score determination. General Terms Data mining, plagiarism detection.
متن کاملRobust Image Retargeting via Axis-Aligned Deformation
We propose the space of axis-aligned deformations as the meaningful space for content-aware image retargeting. Such deformations exclude local rotations, avoiding harmful visual distortions, and they are parameterized in 1D. We show that standard warping energies for image retargeting can be minimized in the space of axis-aligned deformations while guaranteeing that bijectivity constraints are ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Multimedia and Ubiquitous Engineering
سال: 2014
ISSN: 1975-0080
DOI: 10.14257/ijmue.2014.9.7.01