检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

4,595 篇 会议
498 册 图书
65 篇 期刊文献

馆藏范围

5,157 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,378 篇 工学
- 2,739 篇 计算机科学与技术...
- 1,816 篇 软件工程
- 723 篇 信息与通信工程
- 720 篇 光学工程
- 661 篇 电气工程
- 415 篇 生物工程
- 361 篇 控制科学与工程
- 348 篇 生物医学工程（可授...
- 236 篇 机械工程
- 223 篇 电子科学与技术（可...
- 126 篇 仪器科学与技术
- 124 篇 化学工程与技术
- 117 篇 安全科学与工程
- 96 篇 交通运输工程
- 90 篇 材料科学与工程（可...
- 68 篇 建筑学
- 58 篇 土木工程
1,680 篇 理学
- 926 篇 物理学
- 720 篇 数学
- 452 篇 生物学
- 203 篇 统计学（可授理学、...
- 120 篇 化学
- 57 篇 系统科学
491 篇 管理学
- 269 篇 图书情报与档案管...
- 242 篇 管理科学与工程(可...
- 79 篇 工商管理
439 篇 医学
- 417 篇 临床医学
- 127 篇 基础医学(可授医学...
- 89 篇 药学(可授医学、理...
60 篇 法学
- 59 篇 社会学
54 篇 农学
35 篇 教育学
31 篇 艺术学
29 篇 经济学
11 篇 文学
11 篇 军事学

主题

813 篇 computer vision
624 篇 pattern recognit...
535 篇 image processing
355 篇 image processing...
347 篇 artificial intel...
336 篇 image segmentati...
271 篇 feature extracti...
203 篇 image recognitio...
171 篇 deep learning
155 篇 computer graphic...
149 篇 computer imaging...
137 篇 face recognition
121 篇 machine learning
121 篇 object recogniti...
117 篇 convolutional ne...
115 篇 image analysis
113 篇 object detection
108 篇 information syst...
105 篇 cameras
105 篇 shape

机构

25 篇 istituto italian...
24 篇 google deepmind ...
24 篇 meta ai barcelon...
23 篇 politecnico di t...
14 篇 national center ...
14 篇 institute of ima...
10 篇 shanghai jiao to...
10 篇 tsinghua univers...
10 篇 university of ch...
10 篇 institute of aut...
9 篇 institute of ima...
9 篇 computer vision ...
8 篇 indian statistic...
8 篇 inria nancy gran...
8 篇 dalian universit...
8 篇 icube université...
8 篇 erasmus mc - uni...
8 篇 tencent jarvis l...
8 篇 university of ba...
7 篇 department of co...

作者

24 篇 cristian canton
24 篇 alessio del bue
24 篇 tatiana tommasi
24 篇 jordi pont-tuset
17 篇 de-shuang huang
14 篇 stefanie speidel
12 篇 wilfried philips
9 篇 paul scheunders
9 篇 h. bischof
9 篇 jie yang
9 篇 stéphane cotin
9 篇 dan popescu
9 篇 mohamed kamel
8 篇 umapada pal
8 篇 aurélio campilho
8 篇 yefeng zheng
8 篇 kok wai wong
8 篇 christian barill...
8 篇 ilias maglogiann...
8 篇 tieniu tan

语言

5,033 篇 英文
104 篇 其他
52 篇 中文

检索条件"任意字段=4th International Conference on Computer Vision, Pattern Recognition and Image Processing"

共 5158 条记录，以下是111-120 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Wide Line Segments Detection in Grey-Level images via Guided Scale Space Radon Transform 6

Wide Line Segments Detection in Grey-Level Images via Guided...

引用

6th IEEE international conference on image processing, Applications and Systems, IPAS 2025

作者： Goumeidane, Aicha Baya Ziou, Djemel Nacereddine, Nafaa Yala, Nawal CRTI Research Center in Industrial Technologies Algiers Algeria Université de Sherbrooke Département D'Informatique Québec Canada

ISBN: (纸本)9798331506520

Line segment detection is a fundamental procedure in computer vision, pattern recognition, and image analysis applications. the paper proposes a novel method for wide line segment detection especially endpoints determination based on the Guided Scale Space Radon Transform and Hessian orientations. the method begins by determining the centerlines of wide lines and then exploit the image Hessian orientations around these lines to define binary region support of the line segments and then detect endpoints. the method shows to be robust against blur and noise on synthetic images where, the evaluation of the outcomes reveals the correctness of the detection by achieving low errors. In addition, results on real images are very promising. © 2025 IEEE.

关键词： image segmentation

来源：评论

学校读者我要写书评

暂无评论

Enhancing Cheapfake Detection: An Approach Using Prompt Engineering and Interleaved Text-image Model 24

Enhancing Cheapfake Detection: An Approach Using Prompt Engi...

引用

4th Annual international conference on Multimedia Retrieval (ICMR)

作者： Vu, Dang Nguyen, Minh-Nhat Nguyen, Quoc-Trung Univ Sci Ho Chi Minh City Vietnam Vietnam Natl Univ Ho Chi Minh City Vietnam

ISBN: (纸本)9798400706028

Misinformation is a widespread problem in the wake of flourishing social media. One of the most common forms of misinformation is cheapfakes - multimedia content that is manipulated with simple techniques such as miscaptioning to create misleading or false narratives. Due to their simplicity and appealing nature, cheapfakes pose a formidable threat to the reliability, transparency and integrity of the Internet. the ACM ICMR 2024 Grand Challenge on Detecting Cheapfakes tasks participants with detecting out-of-context cheapfakes - images with misleading or irrelevant captions. this paper introduces a lightweight approach that enhances cheapfake detection by combining Prompt Engineering with image captioning running on an interleaved image-text model. Testing on a public dataset gives an accuracy of 82.9%. Despite its modest accuracy, our method demonstrates the potential for applying better mixed-media learning models for context understanding and Visual Question Answering.

关键词： cheapfakes prompt engineering interleaved image-text model computer vision natural language processing

来源：评论

学校读者我要写书评

暂无评论

FPGA-Compatible Fog Rectification and Contrast Enhancement for Improved vision Algorithms in Foggy Environments 4

FPGA-Compatible Fog Rectification and Contrast Enhancement f...

引用

4th international conference on Intelligent Technologies, CONIT 2024

作者： Siddiqui, Khadim Moin Chowdhary, Anjali Yadav, Rani Yadav, Karandeep Verma, Sejal Singh, Anurag Kanaujia, Surabhi Tripathi, Shiv Mani Singh, Beer Gautam, Abhinav K. S.R. Institute of Management & Technology Electrical & Electronics Engineering Lucknow India S.R. Institute of Management & Technology Electronics & Communication Engineering Lucknow India S.R. Institute of Management & Technology Electronics & Communication Engineering Department Lucknow India

ISBN: (纸本)9798350349900

Fog rectification is a crucial preprocessing step in enhancing image quality for applications like autonomous driving and object recognition, particularly in foggy and hazy conditions. this paper presents a streaming fixed-point implementation of a fog rectification and contrast enhancement algorithm tailored for FPGA deployment aiming to enhance visibility and contrast in foggy images. the fog rectification involves the dark channel of the image calculating the airlight map, refining it with filters and restoring the defogged image. Contrast enhancement is achieved through RGB to gray conversion and contrast stretching. the proposed algorithm is designed to efficiently process foggy RGB images, removing haze and enhancing contrast. the implementation utilizes fixed-point blocks from vision HDL Toolbox for FPGA compatibility and employs a streaming pixel format for real-time processing. Simulation results demonstrate the effectiveness of the algorithm in improving image quality for vision algorithms in foggy environments. © 2024 IEEE.

关键词： image quality

来源：评论

学校读者我要写书评

暂无评论

On the Exploitation of DCT Statistics for Cropping Detectors 4

On the Exploitation of DCT Statistics for Cropping Detectors

引用

4th international conference on image processing and vision Engineering, IMPROVE 2024

作者： Ragaglia, Claudio Vittorio Guarnera, Francesco Battiato, Sebastiano Department of Mathematics and Computer Science University of Catania Viale Andrea Doria 6 Catania95125 Italy

ISBN: (纸本)9789897586934

the study of frequency components derived from Discrete Cosine Transform (DCT) has been widely used in image analysis. In recent years it has been observed that significant information can be extrapolated from them about the lifecycle of the image, but no study has focused on the analysis between them and the source resolution of the image. In this work, we investigated a novel image resolution classifier that employs DCT statistics with the goal to detect the original resolution of images;in particular the insight was exploited to address the challenge of identifying cropped images. Training a Machine Learning (ML) classifier on entire images (not cropped), the generated model can leverage this information to detect cropping. the results demonstrate the classifier's reliability in distinguishing between cropped and not cropped images, providing a dependable estimation of their original resolution. this advancement has significant implications for image processing applications, including digital security, authenticity verification, and visual quality analysis, by offering a new tool for detecting image manipulations and enhancing qualitative image assessment. this work opens new perspectives in the field, with potential to transform image analysis and usage across multiple domains. Copyright © 2024 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Discrete cosine transforms

来源：评论

学校读者我要写书评

暂无评论

Feature Extraction and Dimensionality Reduction to Evaluate Decision Tree Ensembles for Diabetic Retinopathy Detection 4th

Feature Extraction and Dimensionality Reduction to Evaluate ...

引用

4th international conference on Intelligent Systems and pattern recognition-ISPR

作者： Lahmar, Chaymaa Idri, Ali Mohammed V Univ Rabat SPM ENSIAS Rabat Morocco Mohammed VI Polytech Univ Fac Med Sci Ben Guerir Morocco

ISBN: (纸本)9783031821554;9783031821561

Diabetic Retinopathy (DR) is an eye disease associated with chronic diabetes. It remains the primary cause of visual impairment and blindness among the global working-age population. Early detection of DR is crucial for ensuring timely diagnosis and effective treatment. this paper proposes a new homogeneous ensemble-based approach constructed using a set of hybrid architectures as base learners and two combination rules (weighted and hard voting) for referable DR detection, using fundus images from the Messidor-2, Kaggle DR, and APTOS datasets. the hybrid architectures are created using deep feature extraction techniques, dimensionality reduction techniques to reduce the size of the extracted features, and a decision tree algorithm (DT) for classification. the results showed the potential of the proposed new approach which achieved high accuracy values over the three datasets: 90.65%, 93.01%, and 83.32% using the APTOS, Kaggle DR, and Messidor-2 datasets respectively. therefore, we recommend using the proposed approach since it is impactful for referable DR classification, and it represents a promising tool to assist ophthalmologists in diagnosing DR.

关键词： computer-Aided Diagnosis Diabetic Retinopathy Machine learning Deep learning Ensemble learning image processing

来源：评论

学校读者我要写书评

暂无评论

Fusion of computer vision and Natural Language processing: Automated image Caption Generation 4

Fusion of Computer Vision and Natural Language Processing: A...

引用

4th international conference on Intelligent Technologies, CONIT 2024

作者： Akku, Chandra Prakash Cheemalwar, Srushith Chamakura, Vasanth Gogu, Shiva Shankar Swaraja, K. Arun Vignesh, N. Gokaraju Rangaraju Institute of Engineering and Technology Dept. of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350349900

In this work the advancement in the field of natural language processing and computer vision, introduces a robust image captioning model that harnesses the capabilities of attention mechanisms. the model encompasses several core components, including the loading and preprocessing of datasets and the integration of MobileNetV3small. the model architecture is designed with a multi-layer transformer decoder, indicating self-attention, and cross-attention mechanisms for a deeper understanding of the image and text data. Training this model involves fine-tuning MobileNetV3small and optimizing the transformer-based decoder for accurate and context-aware caption generation. the utilization of MobileNetV3small and the Transformer-based decoder marks a significant advancement in image captioning, and the model holds promise for applications in automated image description and content generation. the model was tested on diverse datasets, as exemplified by its performance on both the Flicker8k and Conceptual Captions datasets. the training process involves a comprehensive pipeline, encompassing dataset preparation, image feature extraction, and tokenization, ensuring a holistic approach to model learning. the comprehensive result analysis highlighted the enhanced captioning results of the proposed method with CIDEr values of 37.20 and 25.40 on the Flickr8k dataset and conceptual captions dataset. © 2024 IEEE.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

BnSepCNN: Convolutional Neural Network for P300 Detection 4

BnSepCNN: Convolutional Neural Network for P300 Detection

引用

4th IEEE international conference on pattern recognition and Machine Learning, PRML 2023

作者： Liu, Maohua Beyette, Fred R. University of Georgia School of Electrical and Computer Engineering College of Engineering Athens30602 United States

ISBN: (纸本)9798350324303

Convolutional neural network (CNN) has shown impressive advantages in various applications like computer vision and speech recognition. However, CNN's applications in P300 detection are still in primary stage. Different from the image and voice data, P300 data have very low SNR and high subject variability so that traditional CNN architectures do not perform well at P300 detection. In this paper, we proposed BnSepCNN based on batch normalization and separable convolution, aiming at reaching high rate for P300 detection with effective CNN architecture. We compared its performance with state-of-the-Art architectures: SepConv1D and BN3. Our experimental results show that, BnSepCNN performs better than SepConv1D which is based on separable convolution, and it has far fewer parameters than BN3 which is based on batch normalization. © 2023 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Research on image preprocessing and target detection of vehicle-machine cooperative system 4

Research on image preprocessing and target detection of vehi...

引用

4th international conference on computer vision, image and Deep Learning, CVIDL 2023

作者： Song, Jiaxin Bing, Li Dong, Zhaoxiang Han, Huiting Hou, Yongchao Wei, Yulan School of Engineering Huzhou University Huzhou31300 China

ISBN: (纸本)9798350326444

In the present cooperative competition of robot, the robot needs to use its own camera module to collect real-time images and identify the enemy robot according to the collected images. However, due to the interference of some external factors in the arena, the contrast and clarity of the images collected by the robot are poor, which is not conducive to the accurate recognition of the robot. therefore, this paper will preprocess the images collected by the robot, and reduce the interference caused by off-site factors through image filtering, image enhancement, and grayscale processing. then use the method based on HSV color detection to achieve accurate identification of enemy robots. Finally, the accurate coordinates of the enemy robot can be obtained by using the target contour method to meet the accuracy requirements. through the above methods, the robot can quickly and accurately obtain the position and shape of the enemy robot. © 2023 IEEE.

关键词： Robots

来源：评论

学校读者我要写书评

暂无评论

Improving Education for Visually Challenged Students through image Captioning and Automated Reading 4

Improving Education for Visually Challenged Students through...

引用

4th IEEE international conference on Emerging Frontiers in Electrical and Electronic Technologies, ICEFEET 2024

作者： Jain, Shirin Jain, Snigdha Sengupta, Anwesha Dasgupta, Anirban Bhattacharya, Shubhobrata Department of EEE IIT Guwahati Guwahati India Dept. of Electrical Engineering NIT Rourkela Rourkela India MathWorks India Hyderabad India

ISBN: (纸本)9798331528614

the integration of advanced technologies into education has emerged as a vital solution to bridge the accessibility gap for visually challenged students. this paper introduces an innovative system that uses image captioning and automated reading to enhance learning experiences for such students. A combination of natural language processing (NLP) along with computer vision has been employed to transform the images into descriptive text, which is further converted to audio for auditory learning. the present work attempts to circumvent the limitations of current image captioning models. A major one include these models being biased on generic real-world images, instead of educational material. A custom dataset has been created with diagrams of various subjects from standard textbooks with an aim to improve classroom comprehension for students, thereby addressing educational content. Optical Character recognition (OCR) has also been incorporated into the proposed system for reading text embedded in images, thereby providing a comprehensive tool for visually impaired students to access complex visual and textual information. © 2024 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Light Balance Algorithm for Book Barcode images 4

Light Balance Algorithm for Book Barcode Images

引用

4th IEEE international conference on Electronic Communications, Internet of things and Big Data, ICEIB 2024

作者： Ren, Linfeng Wu, Shukun Chen, Chuanghong Chen, Zhensong Yu, Zihan Zhu, Zhiqiang School of Mathematics and Computer Science Guangxi Science and Technology Normal University Laibin China

ISBN: (纸本)9798350360721

Owing to the progress of information technology, library management system is being automated intelligently. Book barcode recognition is the key to improve the quality of service but its performance is affected by lighting conditions. therefore, an image processing method was developed to improve the recognition of barcode under various lighting conditions. By analyzing the current situation and designing a new algorithm based on histogram equalization and Retinex theory, we improved the accuracy and robustness of barcode recognition using the method. the method significantly improved the efficiency of barcode recognition, which enhances the automation level of library management. © 2024 IEEE.

关键词： image enhancement

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 8 9 10 11 12 13 14 15 16 17 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：