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In this paper, we propose a multiscale deep feature learning method for high-resolution satellite image scene classification. Specifically, we first warp the original satellite image into multiple different scales. The images in each scale are employed to train a deep convolutional neural network (DCNN). However, simultaneously training multiple DCNNs is time-consuming. To address this issue, we explore...
In this paper, based on quaternion and Euler angles, an attitude control algorithm is proposed for pitching and rolling of quadrotor aircraft. In addition, the target tracking algorithm of quadrotor aircraft is designed by using the collected video information and color feature recognition. The system is based on the homemade quadrotor aircraft, using gyroscope, accelerometer as the original measurement...
In ubiquitous multimedia applications, how to protect the digital copyright for multimedia data has been a difficult task. In this paper, a novel self-adaptive video dual watermarking, which is combined the motion characteristics detection with the geometric invariant of Scale-invariant feature transform (SIFT) is proposed. For each frame, the motion characteristics are calculated as the maximum of...
To ensure security, cloud service providers employ security groups as a key tool for cloud tenants to protect their virtual machines from unwanted traffic. However, security groups can be complex and often hard to configure, which may result in security vulnerabilities that impact the entire cloud platform. To assist tenants in designing better security groups, in this paper, we propose and develop...
The state-of-the-art image retrieval approaches usually quantize SIFT features into visual words. Researchers proposed the notion of bundled feature which simply employs MSER to bundle SIFT features into groups. In this paper, we propose a large scale partial-duplicate image retrieval scheme using invariance weight of SIFT and SROA geometric consistency based on the bundled feature. We calculate the...
In this paper, authors study using SIFT feature for medical image retrieval. Under bag-of-words framework, this paper study different methods forming visual words from local SIFT feature, and show good choice for medical image retrieval, in different condition. Through experimentation on different body parts, rotation and scale, the methods show different performance, thus provide reasonable choice...
The use of virtual reality (VR) techniques in industry is subject to very high expectations, as VR has emerged as a popular technology for computer-human interfaces in order to master the shortcomings of CAD/CAE systems.3D CAD models provide a natural way of sharing design information among participants in the production process. VRML is a tool specifically designed for creating 3D virtual worlds...
This study was undertaken to implement the three-dimensional (3D) reconstruction of the intraneural structure in the upper limb peripheral nerves. Three fresh cadaver peripheral nerves (one median, one ulnar and one radial nerve) were located with human hair, embedded in OCT, sectioned consecutively every 100 mum at a 20 mum thickness. Then all slices were stained with the acetylcholinesterase histochemical...
A novel adaptive imperceptible video watermarking based on the model of entropy is proposed. By combining the human visual masking system (HVS) with the blocking-matching techniques acquire the motion information in video sequence. The statistics to the motion information in every macro-block could be gotten by using the model of entropy. According to the entropy of motion information of every macro-block...
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