Althogh the diversity of mobile devices brings in image retargeting technique to effectively display images on various screens, no existing image retargeting method can handle all images well. In this paper, we propose a novel approach to select suitable image retargeting methods solely based on original image characteristic, which can obtain acceptable selection accuracy with low computation c...

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 ...

Content-aware image retargeting has drawn much attention in image and vision research in recent years. However, existing methods are very difficult to ensure that the result images from retargeting achieve good visual effect on the whole, since these methods mainly focus on spatial image information. In this paper, we propose a new approach on content-aware image retargeting based on visual eff...

Feedback retargeting combines the benefits of two previous retargeting methods: Bidirectional similarity [1] and Shift-Map [2]. The first method may have blurry areas due to patch averaging and the latter can remove entire objects. Feedback retargeting has the sharpness of shift-map and the completeness of bidirectional similarity, avoiding the removal of salient objects. In Shift-Map retargeti...

In this paper, we propose a novel image importance model for image retargeting. The most widely used image importance model in existing image retargeting methods is L1-norm or L2-norm of gradient magnitude. It works well under non-complex environment. However, the gradient magnitude based image importance model often leads to severe visual distortions when the scene is cluttered or the backgrou...

We propose an algorithm for axis-aligned content-aware image retargeting specifically optimized for mobile devices and we show that interactive image retargeting is possible even with a low-power, mobile CPU. Considering the limited screen space, we designed a novel user interface that allows the user to paint saliency maps directly onto the retargeted image while simultaneously updating the un...

Visual attention retargeting attempts to modify an image such that the viewer’s attention is directed to specific regions. Goals include highlighting a particular object or hiding possible problems in the image. In this work, we show that we can pose the visual retargeting problem in terms of gamut mapping. In short, visual attention retargeting can be achieved by performing gamut extension in ...

Content-aware image resizing (or image retargeting) enables images to be fit to different display devices having different aspect ratios while preserving salient image content. There are many approaches to retargeting, although no “best” method has been agreed upon. Therefore, finding ways to assess the quality of image retargeting has become a prominent challenge. Traditional image quality ass...

The system propose a video retargeting algorithm to resize images based on the extracted saliency information from the compressed domain. The system utilizes DCT coefficients in JP2 bit stream to perform saliency detection with the consideration of the human visual sensitivity. Valuable retargeting requires emphasize the main satisfied while retain immediate context with minimal visual deformat...