Saliency Detection in the Compressed Domain for Adaptive Image Retargeting

Compressed-Sampling-Based Image Saliency Detection in the Wavelet Domain

When watching natural scenes, an overwhelming amount of information is delivered to the Human Visual System (HVS). The optic nerve is estimated to receive around 108 bits of information a second. This large amount of information can’t be processed right away through our neural system. Visual attention mechanism enables HVS to spend neural resources efficiently, only on the selected parts of the...

Saliency & structure preserving multi-operator image retargeting

Content-aware image retargeting has attracted substantial research interests in the related research community. However, so far there is still no method can preserve important image contents and structure well without introducing deformation. To address this problem, we propose a Saliency & Structure Preserving Multi-operator (SSPM) method. SSPM classifies images into three categories utilizing...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Image Retargeting Using Depth Enhanced Saliency

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...

Automatic Image Retargeting Using Saliency Based Mesh Parameterization

Automatic image retargeting is used for large image.That are to be fit in small size display devices. Without any loss of information.our proposed methods one is saliency based mesh parameterization method is used to retarget the image. Stretch-Based Mesh Parameterization is generating on saliency image. GraphBased visual saliency is used to easily find out the objects in the image. Mesh Genera...