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检索条件"主题词=feature coding"
68 条 记 录,以下是21-30 订阅
Scene Image Classification Based on Improved VLAD Reprensentation
Scene Image Classification Based on Improved VLAD Reprensent...
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International Joint Conference on Neural Networks (IJCNN)
作者: Zhang, Zhiyi Long, Xianzhong Li, Yun Nanjing Univ Posts & Telecommun Sch Comp Sci & Technol Sch Software Nanjing 210023 Peoples R China
Vector of Locally Aggregated Descriptors (VLAD) method, which aggregates descriptors and produces a compact image representation, has achieved great success in the field of image classification and retrieval. However,... 详细信息
来源: 评论
A novel approach for classification of mental tasks using multiview ensemble learning (MEL)
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NEUROCOMPUTING 2020年 417卷 558-584页
作者: Gupta, A. Khan, R. U. Singh, V. K. Tanveer, M. Kumar, D. Chakraborti, A. Pachori, R. B. Jawaharlal Nehru Univ Sch Computat & Integrat Sci New Delhi 110067 India Indian Inst Technol Indore Discipline Math Indore 453552 India Delhi Technol Univ Dept Appl Math Delhi 110042 India Indian Inst Technol Indore Discipline Elect Engn Indore 453552 India Cent Elect Engn Res Inst Pilani Pilani 333031 Rajasthan India
Brain-computer interface (BCI) is a domain, in which a person can send information without using any exterior nerve or muscles, just using their brain signal, called electroencephalography (EEG) signal. Multiview lear... 详细信息
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A MULTIMODAL LOSSLESS coding METHOD FOR SKELETONS IN VIDEOS
A MULTIMODAL LOSSLESS CODING METHOD FOR SKELETONS IN VIDEOS
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IEEE International Conference on Multimedia and Expo (IEEE ICME)
作者: He, Xiaoyi Liu, Mingzhou Lin, Weiyao Han, Xintong Zhu, Yanmin Lu, Hongtao Xiong, Hongkai Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China Malong Technol Shenzhen Peoples R China Shanghai Jiao Tong Univ Dept Comp Sci & Engn Shanghai Peoples R China
Nowadays, skeleton information in videos plays an important role in human-centric video analysis but effective coding such massive skeleton information has never been addressed in previous work. In this paper, we make... 详细信息
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Lossy Intermediate Deep Learning feature Compression and Evaluation  19
Lossy Intermediate Deep Learning Feature Compression and Eva...
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27th ACM International Conference on Multimedia (MM)
作者: Chen, Zhuo Fan, Kui Wang, Shiqi Duan, Ling-Yu Lin, Weisi Kot, Alex C. Nanyang Technol Univ Singapore Singapore Peking Univ Shenzhen Peoples R China City Univ Hong Kong Hong Kong Peoples R China Peking Univ Beijing Peoples R China
With the unprecedented success of deep learning in computer vision tasks, many cloud-based visual analysis applications are powered by deep learning models. However, the deep learning models are also characterized wit... 详细信息
来源: 评论
feature coding VIA VECTOR DIFFERENCE FOR IMAGE CLASSIFICATION
FEATURE CODING VIA VECTOR DIFFERENCE FOR IMAGE CLASSIFICATIO...
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19th IEEE International Conference on Image Processing (ICIP)
作者: Zhao, Xin Yu, Yinan Huang, Yongzhen Huang, Kaiqi Tan, Tieniu Univ Sci & Technol China Dept Automat Hefei Anhui Peoples R China Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing Peoples R China
An effective image representation is important to an image classification task. The most popular image representation framework utilizes a feature coding algorithm to encode the extracted low-level feature descriptors... 详细信息
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FLEXIBLE RATE ALLOCATION FOR LOCAL BINARY feature COMPRESSION  25
FLEXIBLE RATE ALLOCATION FOR LOCAL BINARY FEATURE COMPRESSIO...
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25th IEEE International Conference on Image Processing (ICIP)
作者: Van Opdenbosch, Dominik Steinbach, Eckehard Tech Univ Munich Chair Media Technol Munich Germany
Numerous real-time applications in computer vision rely on finding correspondences between local binary features. In many mobile scenarios, the visual information captured at a sensor node needs to be transmitted to a... 详细信息
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EB-Boost: Medium-Long Term Forecasting Method of Supplies of Shared E-Cars in Smart Scenic Spots  11
EB-Boost: Medium-Long Term Forecasting Method of Supplies of...
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IEEE International Congress on Cybermatics / IEEE Conferences on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology
作者: Li, Hong Yang, Xiaosheng Xia, Yao Zheng, Lujie Wang, Tie Yang, Guoqing Lv, Pan Zhejiang Univ Comp Sci & Technol Hangzhou Zhejiang Peoples R China
At present, shared e-cars have become an important part of traffic in scenic spots. While shared e-cars bring convenience to tourists, they also exert a certain influence on the management of the traffic environment i... 详细信息
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Two-dimensional hidden semantic information model for target saliency detection and eyetracking identification
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JOURNAL OF ELECTRONIC IMAGING 2018年 第1期27卷 013006-013006页
作者: Wan, Weibing Yuan, Lingfeng Zhao, Qunfei Fang, Tao Minist Educ China Key Lab Syst Control & Informat Proc Shanghai Peoples R China Shanghai Jiao Tong Univ Dept Automat Shanghai Peoples R China Ctrip Com Int Ltd CTRP Shanghai Peoples R China
Saliency detection has been applied to the target acquisition case. This paper proposes a two-dimensional hidden Markov model (2D-HMM) that exploits the hidden semantic information of an image to detect its salient re... 详细信息
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Color space quantization-based clustering for image retrieval
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Frontiers of Computer Science 2017年 第6期11卷 1023-1035页
作者: Le DONG Wenpu DONG Ning FENG Mengdie MAO Long CHEN Gaipeng KONG School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China
Color descriptors of an image are the most widely used visual features in content-based image retrieval sys- tems. In this study, we present a novel color-based image retrieval framework by integrating color space qua... 详细信息
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Research and Improvement of Content-Based Image Retrieval Framework
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INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE 2018年 第12期32卷
作者: Hou, Yong Wang, Qingjun Bengbu Coll Dept Comp Engn Bengbu 233030 Peoples R China Nanjing Univ Aeronaut & Astronaut Nanjing Jiangsu Peoples R China Shenyang Aerosp Univ Shenyang Liaoning Peoples R China
This paper proposed a high-performance image retrieval framework, which combines the improved feature extraction algorithm SIFT (Scale Invariant feature Transform), improved feature matching, improved feature coding F... 详细信息
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