Results 31 to 40 of about 1,672 (192)
Quality Assessment of Retargeted Images Using Hand-Crafted and Deep-Learned Features
IEEE Access, 2018 Since the goal of image retargeting is to adapt source images on target displays with different sizes and aspect ratios, how to objectively evaluate the quality of retargeted images is particularly important to optimize the retargeting operations.
Zhenqi Fu +4 more
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Mobile Image Retargeting [PDF]
, 2013 We propose an algorithm for axis-aligned content-aware image retargeting that is specifically optimized for mobile devices, and we show that interactive image retargeting is possible even with a low-power, mobile CPU. Our retargeting operator is based on
Graf, Daniel +2 more
core +1 more source
Completion of the AAV Structural Atlas: Serotype Capsid Structures Reveals Clade-Specific Features
Viruses, 2021 The capsid structures of most Adeno-associated virus (AAV) serotypes, already assigned to an antigenic clade, have been previously determined. This study reports the remaining capsid structures of AAV7, AAV11, AAV12, and AAV13 determined by cryo-electron
Mario Mietzsch +6 more
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Consistent image processing based on co‐saliency
CAAI Transactions on Intelligence Technology, 2021 In a group of images, the recurrent foreground objects are considered as the key objects in the group of images. In co‐saliency detection, these are described as common saliency objects.
Xiangnan Ren +3 more
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Seam Manipulator: Leveraging Pixel Fusion for Depth-Adjustable Stereoscopic Image Retargeting
IEEE Access, 2019 To enhance the depth perception for stereoscopic image retargeting, this paper presents a depth-adjustable stereoscopic image retargeting method via pixel fusion technique.
Xiongli Chai +3 more
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Scene Carving: Scene Consistent Image Retargeting [PDF]
, 2010 Image retargeting algorithms often create visually disturbing distortion. We introduce the property of scene consistency, which is held by images which contain no object distortion and have the correct object depth ordering.
Alex Mansfield +7 more
core +1 more source
Visual comfort assessment for stereoscopic image retargeting [PDF]
, 2018 In recent years, visual comfort assessment (VCA) for 3D/stereoscopic content has aroused extensive attention. However, much less work has been done on the perceptual evaluation of stereoscopic image retargeting.
Zhou, Ya, Zhou, Wei
core +1 more source
CarvingNet: Content-Guided Seam Carving Using Deep Convolution Neural Network
IEEE Access, 2019 We propose an improved content-aware image resizing method that uses deep learning. The proposed method is extended from seam carving, which is another image resizing method. Seam carving uses the energy map from an image.
Eungyeol Song, Minkyu Lee, Sangyoun Lee
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Feature-Aware Mesh for Image Retargeting [PDF]
, 2011 Image retargeting adapts an input image to displays other than originally intended while minimizing visual distortion. Most warping-based methods formulate retargeting as a spatially-varying warping problem over a uniform mesh and encourage each mesh ...
Lai, Yu-chi, Niu, Yuzhen, Liu, Feng
core +1 more source
Image and Video Retargetting by Darting [PDF]
, 2009 This paper considers the problem of altering an image by imperceptibly adding or removing pixels, for example, to fit a differently shaped frame with minimal loss of interesting content. We show how to construct a family of convex programs that suitably rearrange pixels while minimizing image artifacts and distortions. We call this "darting" on analogy
openaire +1 more source