Results 121 to 130 of about 200 (162)
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Stream carving: An adaptive seam carving algorithm
2010 IEEE International Conference on Image Processing, 2010We propose a new content-aware image resizing scheme, Stream Carving, which is based on the well-known seam carving method. Our algorithm may introduce larger seams in the retargeted image, i.e. seams with a width larger than one pixel, that we call “streams”. The resulting holes are then recovered using an inpainting method.
Daniel Domingues +2 more
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Seam carving for media retargeting
Communications of the ACM, 2009Traditional image resizing techniques are oblivious to the content of the image when changing its width or height. In contrast, media (i.e., image and video) retargeting take s content into account. For example, one would like to change the aspect ratio of a video without making human figures look too fat or too skinny, or change the size ...
Ariel Shamir, Shai Avidan
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Generalized multiscale seam carving
2010 IEEE International Workshop on Multimedia Signal Processing, 2010With the abundance and variety of display devices, novel image resizing techniques have become more desirable. Content-aware image resizing (retargeting) techniques have been proposed that show improvement over traditional techniques such as cropping and resampling. In particular, seam carving has gained attention as an effective solution, using simple
David D. Conger +2 more
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Proportional constraint for seam carving
SIGGRAPH '09: Posters, 2009Seam carving is an image processing operator for content-aware image resizing [Avidan and Shamir 2007]. It generates an energy map from gradient intensity of pixels and searches for seams, which are vertical or horizontal continuous paths of pixels that run through local minimum energy areas.
Kei Utsugi +3 more
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Proceedings of the 17th ACM international conference on Multimedia, 2009
There is an increasing demand on image compression adaptive to different display sizes. However, existing spatial scalable coding only supports dyadic resolutions and is not content-aware. In this paper, we apply the recently developed image resizing algorithm, seam carving, for content-aware multi-size image compression.
Thi Nhat Anh Nguyen +2 more
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There is an increasing demand on image compression adaptive to different display sizes. However, existing spatial scalable coding only supports dyadic resolutions and is not content-aware. In this paper, we apply the recently developed image resizing algorithm, seam carving, for content-aware multi-size image compression.
Thi Nhat Anh Nguyen +2 more
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Depth-Aware Image Seam Carving
IEEE Transactions on Cybernetics, 2013Image seam carving algorithm should preserve important and salient objects as much as possible when changing the image size, while not removing the secondary objects in the scene. However, it is still difficult to determine the important and salient objects that avoid the distortion of these objects after resizing the input image.
Jianbing Shen +2 more
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Detection of Seam Carved Image Based on Additional Seam Carving Behavior
International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016Seam carving is a kind of content aware image retargeting algorithm and can be applied to resize and deliberately remove objects from digital images. Based on the observation that after applying an additional seam carving operation, the similarity, the energy relative error, and the difference of seam distance of original image are quite different from
Yongzhen Ke +4 more
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Seam carving with rate-dependent seam path information
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011In this paper, we present a seam carving, which is a well-known content-aware image resizing method, with a constraint on bitrates for seam path information (SPI). The SPI corresponds to pixel positions to be pruned and it generally requires high bitrate when we store or transmit it.
Yuichi Tanaka 0001 +2 more
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Fast seam carving with strip constraints
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service, 2012In this paper, we present a fast seam carving approach with strip constraints. To reduce the artifacts caused by seam carving, the seam carving is constrained in several non-overlapped strips, whose objective size is unequal. The whole resizing scheme involves the following steps.
Lianchao Cao, Lifang Wu, Jinqiao Wang
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Faster Seam Carving for Video Retargeting
2018 25th IEEE International Conference on Image Processing (ICIP), 2018Video retargeting is to resize a video to a desired resolution or aspect ratio while preserving its salient content without visual distortion. The key to video retargeting is to reconcile spatio-temporal coherence of video frames, and most existing works use seam carving to achieve that by employing the dynamic programming to find optimal seams ...
Chenyang Li +4 more
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