We present a novel approach to feature-aware mesh deformation. Previous mesh editing methods are based on an elastic deformation model and thus tend to uniformly distribute the distortion in a least squares sense over the entire deformation region. Recent results from image resizing, however, show that discrete local modifications like deleting or adding connected seams of image pixels in regio...

Seam-carving has achieved the most widespread use with the blossom of content-aware resizing methods. This paper proposes the video retargeting method where the aspect ratio and the size of the video are reduced. It deals with the spatial and temporal coherence for the purpose of resizing videos. The proposed algorithm is mainly based on matching-area-based temporal energy adjustment. Each fram...

Seam carving is a content-aware resizing method. Based on a seam carving approach to obtain semantic video compression, the non salient parts of the video are suppressed and the reduced sequence is encoded with H.264/AVC. To avoid a large overhead to encode the seams, the seams are regrouped together and approximated. In this paper, after the approximation, the seams are resynthesized similarly...

Seam Carving, the popular content aware image resizing technique removes seams of low energy iteratively without considering the global visual impact of the image. It is computation intensive. Sometimes seams unavoidable pass through the ROIs and distort their geometric shapes. The ROIs of low energy cannot sustain seam carving. We proposed a piecewise approach which can preserve the ROIs of lo...

a School of Information Science and Engineering, Hunan University, Changsha 410082, China b School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China c School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China d School of Computer and Software, Nanjing University of Information Sci...

Real-world images usually contain vivid contents and rich textural details, which will complicate the manipulation on them. In this paper, we present a content-aware synthesis method to enhance content-aware image retargeting. By detecting the textural regions in an image, the image content can be synthesized rather than simply distorted or cropped. This method enables the manipulation of textu...

Image retargeting aims to avoid visual distortion while retaining important image content in resizing. However, current image retargeting methods usually fail in difficult situations, such as complex structures and intricate arrangements of objects. In this paper, we propose a novel image retargeting approach, which provides low visual distortion retargeting results by combining region warping ...

a r t i c l e i n f o Multi-operator image resizing can preserve important objects and structure in an image by combining multiple image resizing operators. However, traditional multi-operator methods do not take both horizontal and vertical content-aware resizing potential into consideration, which essentially leads to squeeze/stretch effect in the resultant images. In this paper, we propose a...

Gradient Blending method is used to crosscorrelate the different images by varying the intensity. Content-aware image resizing technique allows to obtain the visual content of the images by enriching the salient information in different aspect of ratio. Seam carving is a simple image operator that can change the size of an image either by carving out or by inserting pixel in different part of t...

Most of existing image retargeting approaches only use color information to help preserve important image content. In this paper, we exploit both color and depth information captured by an RGB-D camera to preserve important regions and maintain background structure. In particular, we introduce a depth-based importance map, such that deformation of the image is guided by this map. This depth-bas...