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There are two main areas in saliency detection: fixation prediction and salient object detection. Researchers always use bottom-up low-level features and straightforward rules for salient object detection. However these rules are unreliable in common scenes. As a result, most salient object detection technologies can gain a fine performance in limited situation. While in a more complex scene (such...
Bag-of-Words based Image retrieval recently became the research hotspot. To improve the performance of visual word training in Bag-of-Words based image retrieval system, a k-means clustering algorithm based on the distribution of SIFT (Scale Invariant Feature Transform) feature data on each dimension is proposed. The initial clustering centers are obtained by analyzing the distribution of SIFT feature...
The pornographic images recognition can be seen as a special kind of object recognition task,but current pornographic images filtering algorithms using BoVF approaches have some problems,such as the high false positive rate toward the bikinis images and insufficiency of filtering pornographic images with pornographic actions. The paper proposes a novel pornographic image filtering model using High-level...
This paper proposes a semi-fragile watermarking algorithm resisting to RST (Rotation, Scaling, Translation). The algorithm can be used to verify the authenticity and integrity of image content. Firstly, the algorithm generates watermarking information by using the edge of the scaled image, and embeds watermarking information based on human visual system. Before detecting watermarking, the parameters...
In order to retrieve the character images but avoid the OCR system which is limited in some application, a method for Chinese characters retrieval is presented in this paper. It firstly extracts the improved contour feature of Chinese character images, which is used to match roughly. Then, the candidate character images attained above are divided by the centroid of each one. For each part divided,...
In this paper, we adopt constrained relaxation for distributed multi-view video coding (DMVC). The novel framework integrates the graph-based segmentation and matching to generate inter-view correlated side information without knowing the camera parameters. Moreover, graph-based representations of multi-view images are incorporated to form more distinctive feature constraints. The sparse data as a...
Apart from the existing temporal and inter-view interpolation technique in distributed multi-view video coding (DMVC), this paper is dedicated to not only investigating multiple side information implication at the decoder, but also preserving the constrained relaxation with high-level features matching. We present a novel feature-based Wyner-Ziv coding framework (FWZC) for DMVC, which devotes scale-invariant...
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