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Steganalysis has played a positive role on protection and improvement of information security. The adaptive pixel pair matching (APPM) embedded stego signal which is independent in any notational system by providing more compact neighborhood and with lower distortion. No method is known to be applicable to estimation of the APPM. In this paper, a novel steganalysis scheme is presented to effectively...
With the development of digital image processing technology, image capture and image tampering are easy to obtain with the help of portable devices and software tools. Subsequently, digital image forensics has become increasingly important, in which recaptured image detection is one branch. In this paper, a set of features based on image texture are used to identify the recaptured images. Because...
The inexpensive hardware and sophisticated image editing software tools have been widely used, which makes it easy to create and manipulate digital images. The detection of forgery images has attracted academic researches in recent years. In this paper, we proposed a forensic method to detect globally or locally blurred images using no-reference image quality assessment. The features are extracted...
Classical relevance vector machine is sensitive to outliers during training and has weak robustness. In order to solve this problem, a novel robust relevance vector machine is presented in this paper. The key idea of the proposed method is to introduce individual noise variance coefficient for each training sample. In the process of model training, the noise variance coefficients of outliers gradually...
Generally speaking, several aspects related to relevance feedback based CBIR include what means should be adopted for approximate semantic description of image content, what strategies be applied to sample labeling in feedback and what relevance model would be built for online discrimination. Using random sampling strategy, we construct a set of random subspaces for learning multiple intrinsic descriptions...
An efficient approach for the blind image composite detection is proposed in this paper. Image composite is commonly used when an image forgery occurs. A forgery detector is devised to expose this kind of tampering through checking consistency of the color perception between object area and background area. Local color statistic and object-based color temperature metric are presented to assess color...
The goal of this paper is to develop a learning strategy for interactive video search that can effectively mitigate the burden on users without decreasing search performance. Taking SVM as underlying learner, a cooperative training strategy is proposed for learning a ranking function, in which semi-supervised learning procedure is started with a combination of a few positive training seeds and a relative...
Automatic detection of commercials embedded in digital video materials is a challenging task. In this paper, a three-phase system of commercial detection is constructed. Firstly, video shots and audio cuts are detected respectively and scene boundaries are refined by fusing the audio and video information simultaneously. Then, a SVM classifier is applied to classifying these shots as program shots...
Based on multi-cue integration and hierarchical SVM, we present a sequential architecture for efficient car detection under complex outdoor scene in this paper. On the low level, two novel area templates based on edge and interest-point cues respectively are first constructed, which can be applied to forming the identities of visual perception to some extent and thus utilized to reject rapidly most...
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