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检索条件"任意字段=Conference on Visual Communications and Image Processing"

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Use of Depth Completion and SLAM Algorithm to Build Dense Maps of Large Scenes

Use of Depth Completion and SLAM Algorithm to Build Dense Ma...

引用

IEEE International conference on Signal and image processing (ICSIP)

作者： Yongxing Jia Mingcan Li Fenghui Xu Jing Yu College of Communications Engineering Army Engineering University of PLA Nanjing China

ISBN: (纸本)9781665446006

Limited by the range of sensor, constructing a dense outdoor map of large scene with a depth camera is difficult. Since the state-of-the-art performance on data fusion for pixel-level distance estimation, this paper proposes a mapping system which employs depth image generated by an unsupervised Lidar-Stereo network to achieve accurate reconstruction. Firstly, in the ORBSLAM2 stereo mode, the system estimates the pose information to finish camera localization. And in another thread LidarStereoNet is used to generate a depth image within visual angle to describe the pixel-level distance. Then, for correcting the completed depth image to truth ground, a nonlinear transformation between the generation and the rendering is performed to restore the accurate distance relationship. Finally, the RGB image, pose information and depth rendering image are entered into the dense mapping module to get a large-scale point cloud model. After running on KITTI dataset, the experiment results show that the system can construct a pretty comprehensive scene model after only one trip, and using the numerical truncation and filtering methods to extract usable areas can make the mapping results more accurate.

关键词： Point cloud compression Location awareness visualization Simultaneous localization and mapping Instruction sets Rendering (computer graphics) Cameras

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Multimedia semantic features and image content description

Multimedia semantic features and image content description

引用

International conference on Multimedia Modeling (MMM)

作者： M. Cavazza R. Green I. Palmer Electronic Imaging and Media Communications Department University of Bradford Bradford UK

Content based indexing and retrieval of images and video requires a proper semantic description for image content. The paper discusses the mapping of high level, application specific features to the visual primitives that are accessible through image processing techniques. A major difficulty is that there are currently no established methodologies for describing the contents of an image in terms of semantic features, and we suggest that semiotic approaches could be adapted to the task of image description in limited areas of expertise. After reviewing current trends in the mapping of high level to low level features, we present preliminary results that suggest a possible strategy for mapping semiotic descriptions to image processing primitives.

关键词： Cultural differences Electrical capacitance tomography Natural languages image analysis Artificial intelligence Ontologies MPEG 7 Standard History image color analysis image retrieval

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Detecting Replay Attacks in Audiovisual Identity Verification

Detecting Replay Attacks in Audiovisual Identity Verificatio...

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International conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： H. Bredin A. Miguel I.H. Witten G. Chollet Department TSI Ecole Nationale Supérieure des TéIécommunications Paris France Communication Technologies Group GTC University of Zaragoza Spain Department Computer Science University of Waikato Hamilton New Zealand

We describe an algorithm that detects a lack of correspondence between speech and lip motion by detecting and monitoring the degree of synchrony between live audio and visual signals. It is simple, effective, and computationally inexpensive; providing a useful degree of robustness against basic replay attacks and against speech or image forgeries. The method is based on a cross-correlation analysis between two streams of features, one from the audio signal and the other from the image sequence. We argue that such an algorithm forms an effective first barrier against several kinds of replay attack that would defeat existing verification systems based on standard multimodal fusion techniques. In order to provide an evaluation mechanism for the new technique we have augmented the protocols that accompany the BANCA multimedia corpus by defining new scenarios. We obtain 0% equal-error rate (EER) on the simplest scenario and 35% on a more challenging one

关键词： Motion detection Speech Monitoring Robustness Forgery image analysis image sequence analysis Signal analysis Streaming media image sequences

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No-Reference Objective Quality Assessment Method of Display Products

No-Reference Objective Quality Assessment Method of Display ...

引用

IEEE visual communications and image processing (VCIP)

作者： Huiqing Zhang Donghao Li Lifang Wu Zhifang Xia Faculty of Information Technology Beijing University of Technology Beijing China Key Laboratory of Artificial Intelligence Ministry of Education Shanghai China Engineering Research Center of Digital Community Ministry of Education Beijing China

ISBN: (数字)9781728180687

ISBN: (纸本)9781728180694

Recent years have witnessed the spread of electronic devices especially the mobile phones, which have become almost the necessities in people's daily lives. An effective and efficient technique for blindly assessing the quality of display products is greatly helpful to improve the experiences of users, such as displaying the pictures or texts in a more comfortable manner. In this paper, we put forward a novel no-reference (NR) quality metric of display products, dubbed as NQMDP. First, we have established a new subjective photo quality database, in which 50 photos shown on three different types of display products were captured to constitute a total of 150 photos and then scored by more than 40 inexperienced observers. Second, 19 effective image features are extracted by using six different influencing factors (including complexity, contrast, sharpness, brightness, colorfulness and naturalness) on the quality of display products and then were learned with the support vector regressor (SVR) to estimate the objective quality score of each photo. Results of experiments show that our proposed method has obtained better performance than the state-of-the-art algorithms.

关键词： image color analysis Observers Feature extraction Brightness Databases visualization Complexity theory

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IEEE International conference on image processing

作者： M.N. Do M. Vetterli Laboratory for Audio-visual Communications Swiss Federal Institute of Technology Lausanne Switzerland Department of EECS University of California Berkeley Berkeley CA USA

The focus of this work is on using texture information for searching, browsing and retrieving images from a large database. In the wavelet approaches, texture is characterized by its energy distribution in the decomposed subbands. However it is unclear on how to define similarity functions on extracted features; usually simple norm-based distances together with heuristic normalization are employed. We develop a novel wavelet-based texture retrieval method that is based on the modeling of the marginal distribution of wavelet coefficients using the generalized Gaussian density (GGD) and a closed form Kullback-Leibler distance between the GGDs. The proposed method provides greater accuracy and flexibility in capturing texture information while its simplified form has close resemblance with existing methods. Experimental results indicate that the new method significantly improves retrieval rates, e.g. from 65% to 77%, against traditional approaches while it has comparable levels of computational complexity.

关键词： Feature extraction image databases Spatial databases image retrieval Maximum likelihood estimation Information retrieval Data mining Iron Samarium Filter bank

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Benchmarking Conventional and Learned Video Codecs with a Low-Delay Configuration

Benchmarking Conventional and Learned Video Codecs with a Lo...

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IEEE visual communications and image processing (VCIP)

作者： Siyue Teng Yuxuan Jiang Ge Gao Fan Zhang Thomas Davis Zoe Liu David Bull Visual Information Laboratory University of Bristol Bristol United Kingdom Visionular Inc. Los Altos CA USA

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Recent advances in video compression have seen significant coding performance improvements with the development of new standards and learning-based video codecs. However, most of these works focus on application scenarios that allow a certain amount of system delay (e.g., Random Access mode in MPEG codecs), which is not always acceptable for live delivery. This paper conducts a comparative study of state-of-the-art conventional and learned video coding methods based on a low delay configuration. Specifically, this study includes two MPEG standard codecs (H.266/VVC VTM and JVET ECM), two AOM codecs (AV1 libaom and AVM), and two recent neural video coding models (DCVC-DC and DCVC-FM). To allow a fair and meaningful comparison, the evaluation was performed on test sequences defined in the AOM and MPEG common test conditions in the YCbCr 4:2:0 color space. The evaluation results show that the JVET ECM codecs offer the best overall coding performance among all codecs tested, with a 16.1% (based on PSNR) average BD-rate saving over AOM AVM, and 11.0% over DCVC-FM. We also observed inconsistent performance with the learned video codecs, DCVC-DC and DCVC-FM, for test content with large background motions.

关键词： Video coding MPEG standards image coding visual communication Transform coding Video compression Delays Complexity theory Video codecs Standards

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Compressed domain motion vector resampling for downscaling of MPEG video

Compressed domain motion vector resampling for downscaling o...

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IEEE International conference on image processing

作者： M.R. Hashemi L. Winger S. Panchanathan School of Information Technology and Engineering University of Ottawa Ottawa ONT Canada Visual Computing and Communications Laboratory Department of Computer Science and Engineering Arizona State University Saudi Arabia

Digital video databases in compressed form are becoming widely available. In applications such as video browsing, and picture in picture, for a lower bitrate, there is a need to down-sample the video before transmission. The conventional approach to downscale a compressed video sequence is to decompress it at the video server, perform the down-sampling in the pixel domain and then recompress it for efficient delivery. This process is computationally intensive due to the motion estimation process required during the recompression phase. In the alternative compressed domain approach, the motion vectors of the downscaled video sequence are computed directly from the motion vectors of the original full size stream. In this paper we propose a compressed domain technique that generates a better estimate for the downscaled motion vectors. Simulations suggest that the performance achieved with the proposed method is superior by up to 1 dB to the current compressed domain techniques.

关键词： Transform coding Video compression Video sequences Motion estimation Discrete cosine transforms image coding Bit rate image storage Information technology Databases

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A novel technique to acquire perceived utility scores from textual descriptions of distorted natural images

A novel technique to acquire perceived utility scores from t...

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IEEE International conference on image processing

作者： David M. Rouse Yiran Wang Fan Zhang Sheila S. Hemami Visual Communications Laboratory School of Electrical and Computer Engineering Cornell University Ithaca NY USA

Many applications value an assessment of distorted natural images according to their usefulness, or utility, rather than their perceptual quality. For the quality task, human observers evaluate an image based on its perceptual resemblance to a reference, whereas for the utility task, the usefulness of an image as a surrogate for a reference is under evaluation. This paper presents a novel technique for acquiring perceived utility scores derived from textual descriptions produced by observers viewing images. The technique uses an observer-centric approach, so observers dictate the relevant concepts that characterize image usefulness. This technique is used to collect perceived utility (PU) scores for 150 distorted images that simulate scenes captured by a surveillance system. The capability of both the natural image contour evaluation (NICE) utility estimator, which compares contours of the reference and test images, and popular quality estimators to estimate PU is reported. The conclusions drawn from the results augment previously reported results and establish that a multi-scale implementation of NICE (MS-NICE) is the most robust utility estimator among the estimators evaluated, since MS-NICE consistently performs as well as estimators producing the most accurate perceived utility estimates for various distortion types.

关键词： Observers image recognition Pixel Transform coding Neodymium Accuracy Robustness

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Multi-chip neuromorphic motion processing

Multi-chip neuromorphic motion processing

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conference on Advanced Research in VLSI

作者： C.M. Higgins C. Koch Division of Biology 139-74 California Institute of Technology Pasadena CA USA

We describe a multi-chip CMOS VLSI visual motion processing system which combines analog circuitry with an asynchronous digital interchip communications protocol to allow more complex motion processing than is possible with all the circuitry in the focal plane. The two basic VLSI building blocks are a sender chip which incorporates a 2D imager array and transmits the position of moving spatial edges, and a receiver chip which computes a 2D optical flow vector field from the edge information. The elementary two-chip motion processing system consisting of a single sender and receiver is first characterized. Subsequently, two three-chip motion processing systems are described. The first such system uses two sender chips to compute the presence of motion only at a particular stereoscopic disparity. The second such system uses two receivers to simultaneously compute a linear and polar topographic mapping of the image plane, resulting in information about image translation, rotation, and expansion. These three-chip systems demonstrate the modularity and flexibility of the multi-chip neuromorphic approach.

关键词： Neuromorphics Optical receivers Very large scale integration Optical arrays Optical computing CMOS digital integrated circuits CMOS analog integrated circuits CMOS process Protocols image motion analysis

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BVI-AOM: A New Training Dataset for Deep Video Compression Optimization

BVI-AOM: A New Training Dataset for Deep Video Compression O...

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IEEE visual communications and image processing (VCIP)

作者： Jakub Nawała Yuxuan Jiang Fan Zhang Xiaoqing Zhu Joel Sole David Bull Visual Information Laboratory University of Bristol Bristol United Kingdom Netflix Inc. Los Gatos CA USA

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

Deep learning is now playing an important role in enhancing the performance of conventional hybrid video codecs. These learning-based methods typically require diverse and representative training material for optimization in order to achieve model generalization and optimal coding performance. However, existing datasets either offer limited content variability or come with restricted licensing terms constraining their use to research purposes only. To address these issues, we propose a new training dataset, named BVI-AOM, which contains 956 uncompressed sequences at various resolutions from 270p to 2160p, covering a wide range of content and texture types. The dataset comes with more flexible licensing terms and offers competitive performance when used as a training set for optimizing deep video coding tools. The experimental results demonstrate that when used as a training set to optimize two popular network architectures for two different coding tools, the proposed dataset leads to additional bitrate savings of up to 0.29 and 2.98 percentage points in terms of PSNR-Y and VMAF, respectively, compared to an existing training dataset, BVI-DVC, which has been widely used for deep video coding. The BVI-AOM dataset is available at https://***/fan-aaron-zhang/bvi-aom.

关键词： Training Video coding image coding visual communication Video compression Performance gain Video codecs Spatial resolution Optimization Standards

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