检索结果-内蒙古大学图书馆

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Wanru Song Jieying Zheng Yahong Wu Changhong Chen Feng Liu Department of Telecommunication Nanjing Univ. Posts & Telecommun. Nanjing China Jiangsu Key Lab of Image Processing & Image Communications Nanjing Univ. Posts & Telecommun. Nanjing China

Person re-identification has gradually become a hot research topic in many fields, such as security, criminal investigation and video analysis. In this paper, we propose a novel feature extraction framework for video-based person re-identification, namely, the partial attribute-driven network (PADNet). The proposed method is based on the deep-learning architecture and incorporates the attribute and identity learning of the pedestrian. Existing attribute research always focuses on the feature representation at the global-level. Unlike them, first, the pedestrian is automatically partitioned to several body parts in our work. Then the pedestrian and his/her body parts are annotated by the global and partial attributes, respectively. Finally, we employ a four-branch multi-label network to explore the spatial-temporal cues of videos by utilizing these labeled samples. Extensive experiments are conducted on two video-based datasets, including PRID2011 and iLIDS-VID. The experimental results demonstrate the superiority and effectiveness of the proposed PADNet over the state-of-the-art approaches.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Online video synopsis method through simple tube projection strategy

Online video synopsis method through simple tube projection ...

引用

International Conference on Wireless communications and Signal processing (WCSP)

作者： Jing Jin Feng Liu Zongliang Gan Ziguan Cui Jiangsu Province Key Lab on Image Processing & Image Communications Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781509028610

Traditional video synopsis methods model the processing into an optimization formula where relations among objects such as collision cost are utilized while entire re-calculation is introduced under each possible temporal shift. Unlike the pairwise cost optimization, we propose a low-complexity and efficient online synopsis method where each tube is processed independently. Without tubes' comparison, the rearrangement is accomplished by a simple projection strategy and an updating projection matrix which records the newest information of the moving space. Furthermore, buffer and a predefined fitness condition also help to increase spatial and temporal utilization. Experiment results demonstrate that the proposed method is superior to other synopsis methods in the processing speed and temporal consistency.

关键词： Streaming media Electron tubes Trajectory Optimization Surveillance Telecommunications Cameras

来源：评论

学校读者我要写书评

暂无评论

Enhancement of color image based on tone-preserving

Enhancement of color image based on tone-preserving

引用

International Conference on Wireless communications and Signal processing (WCSP)

作者： Ya'nan Yang Xiaofan Wang Feng Liu Zongliang Gan Jiangsu Province Key Lab on Image Processing & Image Communications Nanjing University of Posts and Telecommunications Nanjing China Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781509028610

Since the lighting conditions in strong contrast regions between the light and dark cant be estimated accurately by traditional center/surround Retinex algorithm, the over-enhancement and color distortion may exist. In view of this, combining with the human visual characteristics, a color image enhancement algorithm based on tone-preserving was proposed. A determination function was added to the bilateral filter to estimate illuminance image more accurately and weaken over-enhancement. According to human visual masking effect, the improved gamma correction was utilized to correct the brightness of illumination image adaptively and the local contrast of reflection image obtained by division was enhanced based on local statistics. Besides, the final enhanced image was obtained by combining illumination image with reflection image, which can make image appear more natural. Compared with other similar algorithms from both subjective and objective aspects, the results show that this method being applied to low-contrast color image enhancement can not only improve image clarity, but reduce color distortion.

关键词： image color analysis Brightness Lighting Color Visualization Nonlinear distortion

来源：评论

学校读者我要写书评

暂无评论

Improving Mandarin End-to-End Speech Synthesis by Self-Attention and Learnable Gaussian Bias

Improving Mandarin End-to-End Speech Synthesis by Self-Atten...

引用

IEEE Workshop on Automatic Speech Recognition and Understanding

作者： Fengyu Yang Shan Yang Pengcheng Zhu Pengju Yan Lei Xie Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xian China Tongdun AI Lab

ISBN: (数字)9781728103068

ISBN: (纸本)9781728103075

Compared to conventional speech synthesis, end-to-end speech synthesis has achieved much better naturalness with more simplified system building pipeline. End-to-end framework can generate natural speech directly from characters for English. But for other languages like Chinese, recent studies have indicated that extra engineering features are still needed for model robustness and naturalness, e.g, word boundaries and prosody boundaries, which makes the front-end pipeline as complicated as the traditional approach. To maintain the naturalness of generated speech and discard language-specific expertise as much as possible, in Mandarin TTS, we introduce a novel self-attention based encoder with learnable Gaussian bias in Tacotron. We evaluate different systems with and without complex prosody information and results show that the proposed approach has the ability to generate stable and natural speech with minimum language-dependent front-end modules.

关键词： Decoding Speech synthesis Pipelines Robustness Spectrogram Natural languages

来源：评论

学校读者我要写书评

暂无评论

A novel cross-lingual voice cloning approach with a few text-free samples

arXiv

引用

arXiv 2019年

作者： Zhou, Xinyong Che, Hao Wang, Xiaorui Xie, Lei Shaanxi Provincial Key Lab of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xian China Kwai Beijing China

This paper proposes a novel cross-lingual voice cloning framework by utilizing bottleneck (BN) features obtained from speaker-independent automatic speech recognition system in the target language. Firstly, we use audio-text pairs of a single speaker in the target language to train a latent prosody model, which models the relationships between the text and the BN features. Then the acoustic model, which translates the BN features to the acoustic features, is trained with multi-speaker's audio data in the target language. Finally, the acoustic model is fine-tuned with target speaker's speech in the original language without the corresponding texts, as the BN features are served as the bridge. Our approach has the following advantages: 1) no recordings from bilingual speakers are required;2) audio-text pairs are not required for acoustic model training;3) no extra complicated modules are needed to encode speaker or language. Experimental results show that, with only several minutes of audio from a new English speaker, our proposed system can synthesize this speaker's Mandarin speech with decent naturalness and speaker similarity. Copyright © 2019, The Authors. All rights reserved.

关键词： Cloning

来源：评论

学校读者我要写书评

暂无评论

Learning Hierarchical Representations for Expressive Speaking Style in End-to-End Speech Synthesis

Learning Hierarchical Representations for Expressive Speakin...

引用

IEEE Workshop on Automatic Speech Recognition and Understanding

作者： Xiaochun An Yuxuan Wang Shan Yang Zejun Ma Lei Xie Shaanxi Provincial Key Laboratory of Speech and Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China ByteDance AI Lab

ISBN: (数字)9781728103068

ISBN: (纸本)9781728103075

Although Global Style Tokens (GSTs) are a recently-proposed method to uncover expressive factors of variation in speaking style, they are a mixture of style attributes without explicitly considering the factorization of multiple-level speaking styles. In this work, we introduce a hierarchical GST architecture with residuals to Tacotron, which learns multiple-level disentangled representations to model and control different style granularities in synthesized speech. We make hierarchical evaluations conditioned on individual tokens from different GST layers. As the number of layers increases, we tend to observe a coarse to fine style decomposition. For example, the first GST layer learns a good representation of speaker IDs while finer speaking style or emotion variations can be found in higher-level layers. Meanwhile, the proposed model shows good performance of style transfer.

关键词： Speech Spectrogram Speech synthesis Data models Training data Predictive models Training

来源：评论

学校读者我要写书评

暂无评论

Modified radius-vector function for shape contour description

Modified radius-vector function for shape contour descriptio...

引用

International Conference on Computational Science and its Applications, ICCSA 2004

作者： Kang, Sung Kwan Ahmad, Muhammad Bilal Chun, Jong Hun Kim, Pan Koo Park, Jong An Dept. of Information and Communications Engineering Chosun University Gwangju Korea Republic of Signal and Image Processing Lab Dept. of Mechatronics Kwangju Institute of Science and Technology Gwangju Korea Republic of Provincial College of Namdo Korea Republic of College of Electronics and Information Engineering Chosun University Gwangju Korea Republic of

ISBN: (纸本)3540220607

Shape is one of the salient features of visual content and can be used in visual information retrieval. Radius vector function for star-shaped objects is available. A modified radius-vector function for both types of shapes-star shaped, and non-star shaped is presented. The center of gravity is selected as the reference point. The corner points are marked as the nodes. Normalized vectors are calculated from the reference point to the corner nodes. The normalized vectors are arranged in ascending order, and the Euclidean distance of the query object with database objects is used for shape matching criteria. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Vectors

来源：评论

学校读者我要写书评

暂无评论

Graph Convolutional Network-based Functional-structural Sub-region Framework for Head and Neck Cancer Prognosis with PET/CT Imaging

Graph Convolutional Network-based Functional-structural Sub-...

引用

2022 IEEE Nuclear Science Symposium, Medical Imaging Conference, and Room Temperature Semiconductor Detector Conference, IEEE NSS MIC RTSD 2022

作者： Zhou, Zidong Peng, Junyi Lin, Guoyu Wu, Huiqin Lv, Wenbing Lu, Lijun Southern Medical University School of Biomedical Engineering Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology Guangzhou510515 China Guangdong Provincial Key Laboratory of Medical Image Processing Guangzhou510515 China Yunnan University School of Information Science and Engineering Kunming650504 China Pazhou Lab Guangzhou510330 China

ISBN: (纸本)9781665488723

In order to improve the behavior of the prognostic model for patients with head and neck cancer (HNC), we constructed a graph convolutional network (GCN), characterizing the interaction of functional and structural information among different sub-regions of tumors in both PET and CT images. Sub-regions were obtained by using the Watershed-based method and were regarded as vertexes in the graph. The element of 1 in the adjacency matrix indicates corresponding two vertices are spatially contiguous, while the element of 0 indicates they are separated. The selected radiomics features were used to characterize each vertex. 642 HNC patients from 8 different centers were used. The best C-index of 0.767 was achieved by the combination of GCN and clinical parameters compared to the radiomics model (0.747) or GCN model (0.702). the proposed approach has great potential in aiding treatment decision-making. © 2022 IEEE.

关键词： Graph convolutional neural network Head and neck cancer Prognosis Sub-region

来源：评论

学校读者我要写书评

暂无评论

Electroencephalogram Signal Analysis Based on the Improved k-nearest Neighbor Network

Electroencephalogram Signal Analysis Based on the Improved k...

引用

International Congress on image and Signal processing, BioMedical Engineering and Informatics

作者： Xian Yu Chengcheng Liu Jun Wang Jiafei Dai Jin Li Fengzhen Hou Image Processing and Image Communications Key Lab Nanjing University of Posts and Telecommunications Nanjing General Hospital of Nanjing Military Command College of Physics and Information Technology Shaanxi Normal University School of Science China Pharmaceutical University

ISBN: (纸本)9781509037117

In this paper, we propose a method to analyze epileptic electroencephalogram based on time series that is transformed from improved k-nearest neighbor network. The study of complex networks has become a hot research of electroencephalogram signal. Electroencephalogram time series generated by the network keeps node information of network, so researching the time series from the network can also achieve the purpose of studying epileptic electroencephalogram. The results of this experiment show that studying power spectrum of time series from the network is more easily than the power spectrum of time series directly generated from brain data to distinguish between normal and epileptic patients. In addition, studying the clustering coefficient of improved k-nearest neighbor network is also able to distinguish between normal and patients with epilepsy. This study can provide an important reference for the study of epilepsy and clinical diagnosis.

关键词： analysis of electroencephalogram signals improved k-nearest neighbor network time series epilepsy

来源：评论

学校读者我要写书评

暂无评论

Anchored Neighborhoods Search Based on Global Dictionary Atoms for Face Photo-Sketch Synthesis

Anchored Neighborhoods Search Based on Global Dictionary Ato...

引用

2019第十一届数字图像处理国际会议

作者： Feng Liu Ran Xu Jieying Zheng Qiuli Lin Zongliang Gan College of Educational Science and Technology Nanjing University of Posts and Telecommunications Jiangsu Province Key Lab on Image Processing & Image Communications Nanjing University of Posts and Telecommunications Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

Example-based face sketch synthesis technology generally requires face photo-sketch images with face alignment and size *** break through the limitation,we propose a global face sketch synthesis method:In training,all training photo-sketch patch pairs are collected together and a photo feature dictionary is learned from the photo *** each atom of the dictionary,its K closest photo-sketch patch pairs are clustered,namely "Anchored Neighborhood".In testing,for each test photo patch,we search its nearest photo patch in the Anchored Neighborhood determined by its closest atom,then the corresponding sketch patch is the *** the same way,we train and test in the high-frequency domain and synthesis the high-frequency ***,the fusion of the initial and the high-frequency results is the final *** experiments on three public face sketch datasets and various real-world photos demonstrate the effectiveness and robustness of the proposed method.

关键词： Face sketch synthesis Dictionary learning Dictionary atom Anchored neighborhood image patch

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：