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IEEE International Symposium on Biomedical Imaging

作者： Hae Jong Seo Peyman Milanfar Electrical Engineering Department University of California Santa Cruz Santa Cruz CA USA

ISBN: (纸本)9781424439317

We present a novel approach to change detection between two brain MRI scans (reference and target.) The proposed method uses a single modality to find subtle changes; and does not require prior knowledge (learning) of the type of changes to be sought. The method is based on the computation of a local kernel from the reference image, which measures the likeness of a pixel to its surroundings. This kernel is then used as a feature and compared against analogous features from the target image. This comparison is made using cosine similarity. The overall algorithm yields a scalar dissimilarity map (DM), indicating the local statistical likelihood of dissimilarity between the reference and target images. DM values exceeding a threshold then identify meaningful and relevant changes. The proposed method is robust to various challenging conditions including unequal signal strength.

关键词： Magnetic resonance imaging Kernel Pixel Delta modulation Robustness Image analysis Magnetic analysis Multiple sclerosis change detection algorithms Application software

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Twi-difference algorithm for video's abrupt shot change detection

Twi-difference algorithm for video's abrupt shot change dete...

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International Conference on Neural Networks and Signal Processing

作者： Qianlei Liu Luxi Yang Southeast University Nanjing Jiangsu CN Dept. of Radio Eng. Southeast Univ. Nanjing China

ISBN: (纸本)0780377028

The first step of video retrieval is the shot change detection, which segments a video into temporal shots and makes the retrieval possible. A new effective algorithm for video's abrupt shot change detection, called twi-difference algorithm, is proposed in the paper. This method eliminates the influence of video movement on the abrupt shot change detection and improves the detecting performance greatly without additional computational cost. And it is based on the property of the inter-frame difference of the frames at the video movement, and is sequence-independent. Experiments show that the twi-difference algorithm outperforms the inter-frame difference algorithm greatly, and the pixel-matching twi-difference algorithm realizes the no-missing detection with close-to-zero or few false detection for the abrupt shot change.

关键词： change detection algorithms Gunshot detection systems Histograms Information retrieval Digital signal processing Computational efficiency Statistics Frequency domain analysis Performance gain

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Study on a kind of land-use change detection based on patch objects of remote sensing image

Study on a kind of land-use change detection based on patch ...

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International Conference on Information Science and Technology (ICIST)

作者： Qingzhou Luo Peifa Wang Yong Wang School of Remote Sensing Nanjing University of Information Science and Technology Nanjing China

Object-oriented change detection is more practical than per-pixel change detection when we survey change information of land-use using remote sensing image. A kind of land-use change detection based on patch objects of remote sensing image is studied in this paper. The patch objects of image come from the polygons of historical vector land-use map. The method calculates the weighted correlation coefficient of each patch object in order to identify whether the patch object is changed. Two different time-series SPOT images in a suburb of Shanghai are used to verify the method. The result shows that the method can detect the changes effectively and raises automation level of land-use updating investigation.

关键词： Remote sensing Pixel Correlation Automation detection algorithms change detection algorithms Object recognition

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Wipe scene change detection in video sequences

Wipe scene change detection in video sequences

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IEEE International Conference on Image Processing

作者： W.A.C. Fernando C.N. Canagarajah D.R. Bull Image Communications Group Centre for Communications Research University of Bristol Bristol UK

This paper presents a novel algorithm for wipe scene change detection in video sequences. In the proposed scheme, each image in the sequence is mapped to a reduced image. Then we use statistical features and structural properties of the images to identify wipe transition region. Finally, Hough transform is used to analyse the wiping pattern and the direction of wiping. Results show that the algorithm is capable of detecting all wipe regions accurately even when the video sequence contains other special effects.

关键词： Layout Video sequences Rhythm change detection algorithms Image edge detection Image communication Pattern analysis Cameras Gunshot detection systems Production

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Video abrupt shot change detection based on relation of the partial interframe differences

Video abrupt shot change detection based on relation of the ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sheng-Rong Gong Yi-Jin Fan School of Computer Science and Technology Soochow University Suzhou China

The abrupt shot change detection is a basic and important technology in content-based video retrieval. Some basic algorithms, such as the pixel-matching algorithm, the histogram algorithm, used to detect abrupt shot change in digital video have existed. But the existing algorithms can not eliminate the influence of the video movement. When much video movement existed, existing algorithms can not perform well. In this paper, a new method based on relation of the partial interframe differences is proposed. It can eliminate the influence of the video movement. The experimental results have showed that the new method performs well both in recall and precision.

关键词： Gunshot detection systems Histograms change detection algorithms Content based retrieval Computer science Multimedia computing Internet Computer aided instruction Software libraries Electronic commerce

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Investigating the Effects of Attack detection for In-Vehicle Networks Based on Clock Drift of ECUs

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IEEE ACCESS 2018年 6卷 49375-49384页

作者： Ji, Haojie Wang, Yunpeng Qin, Hongmao Wu, Xinkai Yu, Guizhen Beihang Univ Sch Transportat Sci & Engn Beijing 100191 Peoples R China

As external interfaces of vehicles multiply, information security of an automobile network system has become increasingly troubling. Mounting attacks have raised the attention of researchers to seek optimal solutions. Therefore, they set forth attack detection to demonstrate the vulnerability of in-vehicle networks, yet most of them focus on packet information directly. This paper comprehensively analyzes the vulnerability of in-vehicle networks and investigates a unique detection method based on clock drift of electronic control units. To investigate the applications of the proposed method further, we take attack time and attack density into consideration and present different patterns of two typical attack scenarios, i.e., injecting attack and suspension attack. In addition, we develop a prototype for data acquisition in a controller area network and undertake substantial vehicle experiments. The results show that the attack detection method has advantages in both recognition accuracy and application range compared with the method based on information entropy theory. This research work is expected to contribute to the further development of attacks detection system applied in vehicular networks.

关键词： Intelligent vehicles network security intrusion detection change detection algorithms

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Finding fault - Fault diagnosis on the wheels of a mobile robot using local model neural networks

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IEEE ROBOTICS & AUTOMATION MAGAZINE 2004年第3期11卷 83-90页

作者： Skoundrianos, EN Tzafestas, SG Natl Tech Univ Athens Sch Engn & Comp Engn Dept Signals Control & Robot Intelligent Robot & Automat Lab Athens 15773 Greece

Fault Diagnosis on the Wheels of a Mobile Robot Using Local Model Neural Networks.

关键词： Fault diagnosis Wheels Mobile robots Neural networks Fault detection change detection algorithms Mathematical model Databases Signal design Algorithm design and analysis

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Cramer-Rao lower bound on locations of sudden changes in a steplike signal

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IEEE TRANSACTIONS ON SIGNAL PROCESSING 1996年第10期44卷 2551-2556页

作者： Reza, AM Doroodchi, M Department of Electrical Engineering and Computer Science University of Wisconsin Milwaukee WI USA

Estimation of locations of sudden changes in a steplike signal has many signal processing applications;e.g., well-log signal segmentation, ionic-channel signal classification, edge detection, and segmentation of images, In this work, the Cramer-Rao lower bound (CRLB) on locations of steps in one-dimensional (1-D) steplike signals is calculated. The calculation is based on the use of a sigmoidal function to model a sudden-change (step) in the signal, The introduced model has an adjustable parameter that can be used to fit the CRLB calculation to a particular class of steplike signals.

关键词： Signal processing Image segmentation Signal processing algorithms Filters Pattern classification Image edge detection Probability density function Signal detection Performance evaluation change detection algorithms

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A fast effective scene change detection and adaptive rate control algorithm

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IEEE International Conference on Image Processing

作者： Yue Yu Jian Zhou Yiliang Wang Department of Electronic Engineering Tsinghua University China

ISBN: (纸本)0818688211

The rate control algorithm of Test Model 5 (TM5) can not handle scene change properly, so the visual quality is consequently worsened. A fast effective scene changes detection method without much additional computation is proposed and an adaptive rate control algorithm is given, which not only guarantees the buffer not to overflow or underflow, but also compensates the visual degradation at scene change point and keeps consistent visual quality. Simulation results show that this algorithm can effectively improve the visual quality when scene change occurs.

关键词： Layout Programmable control Adaptive control change detection algorithms Testing Bit rate Degradation Computational modeling Digital TV Video coding

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An effective error concealment method based on abrupt scene change detection algorithm

An effective error concealment method based on abrupt scene ...

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IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012)

作者： Jielong Chen Jian Wang School of Electronic and Engineering Nanjing University China

ISBN: (纸本)9781629939254

Compressed video bit-streams are extremely sensitive to packet loss over error-prone channels. Error concealment (EC) has been considered as one of error control techniques to improve the reconstructed picture quality against transmission errors. However, EC methods show poor image reconstruction performance due to unavailable scene change information of the video sequence, especially when an abrupt scene change occurs. In this paper, we propose an effective EC method based on scene change detection algorithm (SCDA), which provides information to decide whether spatial or temporal EC is better to be used for intra and inter frames respectively. The simulation results show that the proposed method highly improves the subjective quality of incorrectly decoded frames and obtains an average gain of 0.7dB compared with the H.264/AVC Joint Model reference software.

关键词： H.264/AVC Scene change detection compressed domain change detection algorithms Data Security European Community Frame

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