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We propose an object detection system that depends on position-sensitive grid feature maps. State-of-the-art object detection networks rely on convolutional neural networks pre-trained on a large auxiliary data set (e.g., ILSVRC 2012) designed for an image-level classification task. The image-level classification task favors translation invariance, while the object detection task needs localization...
Saliency detection of video sequences has attracted great attention in recent years. In this paper, we propose a saliency detection framework in the compressed domain. Spatial and temporal saliency map are derived by calculating mutual information of feature distribution between center window and surrounding window respectively. Motion vector is used to get the temporal saliency map, and features...
Saliency detection in videos has attracted great attention in recent years due to its wide range of applications. In this paper, a novel spatiotemporal saliency detection model based on clustering is proposed. The discrete cosine transform coefficients are used as features to generate the spatial saliency map firstly. We utilize 2D Gaussian function to estimate the absolute feature difference in consideration...
Saliency detection in videos has attracted great attention in recent years due to its wide range of applications, such as object detection and recognition. A novel spatiotemporal saliency detection model is proposed in this paper. The discrete cosine transform coefficients are used as features to generate the spatial saliency maps firstly. Then, a hierarchical structure is utilized to filter motion...
We develop an efficient general-purpose blind/no-reference image quality assessment (IQA) algorithm that utilizes curvelet domain features of phase congruency values and local spectral entropy values in distorted images. A 2-stage framework of distortion classification followed by quality assessment is used for mapping feature vectors to prediction scores. We utilize a support vector machine (SVM)...
Multimedia security means protecting multimedia information and information systems from unauthorized access, use, disclosure, disruption, modification, inspection, recording and destruction. The “Video Copy Detection” system is based on detecting video copies from a video sample to avoid copyright violations. Video fingerprinting is one of methods for video copy detection, including steps of video...
Side Information (SI) generation is a key function in the DVC decoder, and plays a critical impact on the compression efficiency. This paper proposes an improved side information generation scheme of transform domain distributed video coding considering a novel content-based side information refinement technique, which is performed with the color and texture features to segment the side information...
A novel semi-fragile watermarking scheme in DWT domain for image authentication and tamper localization is proposed in this paper. The proposed scheme extracts content-based image features from the approximation subband in the wavelet domain to generate the watermark. Then the watermark is embedded into the middle frequency subband in the wavelet domain. For image authentication and tamper localization,...
Background subtraction is an effective method in detecting moving objects in a static scene, which requires a fixed camera, and a static background. Illumination changing is a challenging problem which causes failure of background subtraction. Most background subtract algorithms require the illumination changing slowly, so the object can be tracked accurately and the background is easy to update....
This paper proposed a new 2-dimension-code-like feature based on the Haar-like feature proposed by Viola et al. The feature can be calculated in different scales rapidly once the integral image is calculated and this characteristic is inherited from the Haar-like feature. Instead of reducing the dimensions after calculating redundant features, we calculate feature vectors with fixed dimensions for...
Robust and reliable traffic surveillance system is an urgent need to improve traffic control and management. Vehicle flow detection appears to be an important part in surveillance system. The traffic flow shows the traffic state in fixed time interval and helps to manage and control especially when there's a traffic jam. In this paper, we propose a traffic surveillance system for vehicle detection...
A novel local image feature description method, which originates from the frameworks of classical SIFT (Scale Invariant Feature Transform) and SURF (Speeded up Robust Features), is presented in this paper. The design of our descriptor innovatively adopts sub-regions overlapped each other in feature description. Coordinated with overlapping sub-regions, we analyze different cell normalization methods...
SIFT (scale invariant feature transform) is an important local invariant feature descriptor. Since its expensive computation, SURF (speeded-up robust features) is proposed. Both of them are designed mainly for gray images. However, color provides valuable information in object description and matching tasks. To overcome the drawback and to increase the descriptor's distinctiveness, this paper presents...
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