Proceedings of the International Conference on Video and Image Processing最新文献_第5页

Faster R-CNN for Marine Organism Detection and Recognition Using Data Augmentation 使用数据增强的更快R-CNN海洋生物检测和识别

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177433

Hao Zhou, Hai Huang, Xu Yang, Lu Zhang, Lu Qi

引用次数: 19

Application Research of the Laser and Digital Image Processing in Bridge Monitoring 激光与数字图像处理在桥梁监测中的应用研究

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177443

Zhang-li Lan, Wei Chen, Fang Liu, Yang Yang

引用次数: 1

Identification of Chicken Eimeria Species from Microscopic Images by Using MLP Deep Learning Algorithm 基于MLP深度学习算法的鸡艾美耳球虫显微图像识别

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177445

Mucahit Buyukyilmaz, Ali Osman Çibikdiken, M. A. Abdalla, H. Seker

{"title":"Identification of Chicken Eimeria Species from Microscopic Images by Using MLP Deep Learning Algorithm","authors":"Mucahit Buyukyilmaz, Ali Osman Çibikdiken, M. A. Abdalla, H. Seker","doi":"10.1145/3177404.3177445","DOIUrl":"https://doi.org/10.1145/3177404.3177445","url":null,"abstract":"Eimeria has more than one species of every single genus of animals that causes diseases that may spread at fast speed and therefore adversely affects animal productivities and results in animal death. It is therefore essential to detect the disease and prevent its spread at the earliest stage. There have been some attempts to address this problem through the analysis of microscopic images. However, due to the complexity, diversity, and similarity of the types of the species, there need more sophisticated methods to be adapted for the intelligent and automated analysis of their microscopic images by using machine- learning methods. To tackle this problem, a deep-learning-based architecture has been proposed and successfully adapted in this study where Chicken fecal microscopy images have been analyzed to identify nine types of these species. The methodology developed includes two main parts, namely (i) pre-processing steps include the techniques that convert image into gray level, extract cell walls, remove background, rotate cell to vertically aligned position and move to their center and (ii) MLP-based deep learning technique to learn features and classify the images, for which Keras model was utilized. Based on the outcome of a 5-fold cross validation that was repeated for 100 times, the approach taken has yielded an average accuracy of 83.75%±0.60, which is comparable to the existing methods.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122408372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Spatio-temporal Analysis for Infrared Facial Expression Recognition from Videos 视频红外面部表情识别的时空分析

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177408

Zhilei Liu, Cuicui Zhang

引用次数: 0

Single Image Super-resolution Based on Residual Learning 基于残差学习的单幅图像超分辨率

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177419

Chao Xie, Xiaobo Lu

{"title":"Single Image Super-resolution Based on Residual Learning","authors":"Chao Xie, Xiaobo Lu","doi":"10.1145/3177404.3177419","DOIUrl":"https://doi.org/10.1145/3177404.3177419","url":null,"abstract":"Patch-based learning methods, such as sparse coding, are by far one of the most dominant ways to handle the single image super-resolution (SISR) issue. However, due to the great success of deep learning, several advanced models based on deep neural networks have been proposed for SISR more recently, gradually revealing its superiority over other counterparts. Therefore, in this paper, we carry on this promising line of work and propose a well-designed network mainly on the basis of residual learning. The key idea of our model is to extract the mean part from the input first in order to lower the impact of background and obtaining two individual components from it. Then, residual learning is applied to mapping the remainder of the input to target high-resolution space, while the mean part is quickly connected to the final output via identity shortcuts. Consequently, our final model conceptually integrates all the above procedures into a completely end-to-end trainable deep network. Thorough experimental results indicate that the proposed method can perform effectively, and is superior to many recently published baselines in terms of both visual fidelity and objective evaluation.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"307 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128337666","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Illegal Occupation Inspection Facilities for Expressway Emergency 高速公路抢险违章检查设施设计

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177416

Jie Yuan, Q. Luo, Shubo Wu

{"title":"Design of Illegal Occupation Inspection Facilities for Expressway Emergency","authors":"Jie Yuan, Q. Luo, Shubo Wu","doi":"10.1145/3177404.3177416","DOIUrl":"https://doi.org/10.1145/3177404.3177416","url":null,"abstract":"Expressway emergency lane is specially used for vehicles dealing with engineering rescue, medical rescue and other emergency services, any social vehicles are prohibited to enter or stay in the lane. However, the Expressway emergency lanes in China are occupied frequently, which makes it easy to cause delaying in emergency situations and results in serious consequences. Therefore, based on RFID technology, a testing facility for illegal occupation of emergency lane was designed. At the entrance of the toll station, the vehicle information is bound to the electronic tag ID and then distributed to the owner. In the detection area, a communication mechanism is established between the electronic tag, the microcomputer station and the signal lamp induction system by using the RFID technology. By receiving and launching signals, it's easy to detect illegal occupations of vehicles in the emergency lane and to remind the vehicle to leave quickly. At last, the feasibility analysis of the testing facilities shows that the facilities can quickly and accurately detect the vehicles that illegally occupy the emergency lane, and its detection accuracy and power supply capacity meet with the expected requirements. The research of this paper is of great significance to the management of China's expressway emergency lane.","PeriodicalId":133378,"journal":{"name":"Proceedings of the International Conference on Video and Image Processing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116602702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A New Single Camera-based Ball Motion Analysis System for Virtual Sports 一种新的基于单摄像机的虚拟运动球运动分析系统

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177413

Jongsung Kim, Myung-Gyu Kim

引用次数: 1

Analysis of Artistic Language in the Virtual Reality Design 虚拟现实设计中的艺术语言分析

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177446

Chen Peng, Xiaotong Liang

引用次数: 1

Blind Image Quality Assessment Using Center-Surround Mechanism 基于中心环绕机制的盲图像质量评估

Proceedings of the International Conference on Video and Image Processing Pub Date : 2017-12-27 DOI: 10.1145/3177404.3177425

Jie Li, Jia Yan, Songfeng Deng, Meiling He

引用次数: 1

Proceedings of the International Conference on Video and Image Processing 视频与图像处理国际会议论文集

Proceedings of the International Conference on Video and Image Processing Pub Date : 1900-01-01 DOI: 10.1145/3177404

引用次数: 1