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检索条件"机构=Key Lab of Image Processing and Image Communication"
885 条 记 录,以下是611-620 订阅
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BH-VQA: Blind High Frame Rate Video Quality Assessment
BH-VQA: Blind High Frame Rate Video Quality Assessment
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Wei Lu Wei Sun Zicheng Zhang Danyang Tu Xiongkuo Min Guangtao Zhai Institute of Image Communication and Network Engineering Shanghai Jiao Tong University MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University
High frame rate (HFR) videos can provide consumers with a more immersive viewing experience in motion-rich scenes. However, they also pose a great challenge for video compression and transmission due to the increase i...
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Selective Bokeh Effect Transformation
Selective Bokeh Effect Transformation
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IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
作者: Juewen Peng Zhiyu Pan Chengxin Liu Xianrui Luo Huiqiang Sun Liao Shen Ke Xian Zhiguo Cao Key Laboratory of Image Processing and Intelligent Control Ministry of Education School of Artificial Intelligence and Automation Huazhong University of Science and Technology S-Lab Nanyang Technological University
Bokeh effect transformation is a novel task in computer vision and computational photography. It aims to convert bokeh effects from one camera lens to another. To this end, we introduce a new concept of blur ratio, wh...
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Object tracking in hyperspectral videos with convolutional features and kernelized correlation filter
arXiv
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arXiv 2018年
作者: Qian, Kun Zhou, Jun Xiong, Fengchao Zhou, Huixin Du, Juan Lab of Optoelectronic Imaging and Image Processing Xidian University Xi’an China School of Information and Communication Technology Griffith University Brisbane Australia College of Computer Science Zhejiang University Hangzhou China
Target tracking in hyperspectral videos is a new research topic. In this paper, a novel method based on convolutional network and Kernelized Correlation Filter (KCF) framework is presented for tracking objects of inte... 详细信息
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A Survey: Target Tracking Algorithm Based on Sparse Representation
A Survey: Target Tracking Algorithm Based on Sparse Represen...
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International Symposium on Computational Intelligence and Design, ISCID
作者: Dan Lu Linsheng Li Qingsen Yan Institute of Digital Media & Communication Taiyuan University of Science and Technology Taiyuan China Shaanxi Key Laboratory of Speech & Image Information Processing School of Computer Science Northwestern Polytechnical University Xi'an China
In this paper, we introduce the development of object tracking. In particular, we introduce several kinds of target tracking algorithm based on sparse coding, including a robust visual tracking method by casting track... 详细信息
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Video-based human-object interaction detection from tubelet tokens  22
Video-based human-object interaction detection from tubelet ...
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Proceedings of the 36th International Conference on Neural Information processing Systems
作者: Danyang Tu Wei Sun Xiongkuo Min Guangtao Zhai Wei Shen Institute of Image Communication and Network Engineering Shanghai Jiao Tong University MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University
We present a novel vision Transformer, named TUTOR, which is able to learn tubelet tokens, served as highly-abstracted spatiotemporal representations, for video-based human-object interaction (V-HOI) detection. The tu...
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Visual comfort assessment of stereoscopic images with multiple salient objects
Visual comfort assessment of stereoscopic images with multip...
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IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
作者: Xiaonan Zhang Jun Zhou Jianyu Chen Xiaoqiang Guo Ya Zhang Xiao Gu Shanghai Key Laboratory of Digital Media Processing and Transmissions Shanghai China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University Shanghai China Academy of Broadcasting Science Beijing China
This paper focuses on discomfort assessment issue for S3D images with multiple salient objects, and proposes four kinds of visual features of S3D images that have potential correlations with visual discomfort, includi... 详细信息
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Selection of Cancer Biomarkers from Microarray Gene Expression Data Utilizing the Bi-Objective Optimization Method
Selection of Cancer Biomarkers from Microarray Gene Expressi...
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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023
作者: Jiang, Hanjing Lin, Jianqing Zhu, Huachao Huang, Yabing Huazhong University of Science and Technology Key Lab. of Image Information Processing and Intelligent Control of Education Ministry of China Institute of Artificial Intelligence School of Artificial Intelligence and Automation Wuhan430074 China Wuhan University School of Computer Science Wuhan430064 China Renmin Hospital of Wuhan University Department of Pathology Wuhan430060 China
Cancer-associated biomarker genes play an indispensable role in the intricate tapestry of cancer development and manifestation. The expression of biomarkers in different types of tumor cells has beneficial implication... 详细信息
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A LIGHTWEIGHT SALIENCY PREDICTION MODEL FOR OMNIDIRECTIONAL imageS
A LIGHTWEIGHT SALIENCY PREDICTION MODEL FOR OMNIDIRECTIONAL ...
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2021 IEEE International Conference on Multimedia and Expo, ICME 2021
作者: Zhu, Dandan Chen, Yongqing Zhao, Defang Min, Xiongkuo Zhou, Qiangqiang Yu, Shaobo Zhai, Guangtao Yang, Xiaokang MoE Key Lab of Artificial Intelligence AI Institute Shanghai Jiao Tong University China College of Information and Communication Hainan University China School of Software Engineering Tongji University China Institute of Image Communication and Network Engineering Shanghai Jiao Tong University China School of Software Jiangxi Normal University China Information Technology Services East China Normal University China
At present, most high-performing saliency prediction models for omnidirectional images (ODIs) depend on deeper or wider convolutional neural networks (CNNs), benefiting from their superior feature representation capab... 详细信息
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Possibilistic similarity based image classification
Possibilistic similarity based image classification
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2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013
作者: Alsahwa, B. Almouahed, S. Guériot, D. Solaiman, B. Image and Information Processing Dept. Telecom Bretagne Institut Mines-Télécom Brest France Lab-STICC UMR CNRS 3192 Laboratoire en sciences et Technologies de l'Information de la Communication et de la Connaissance Institut Mines-Télécom-Télécom Bretagne-UE Brest France
In this study, an approach for image classification based on possibilistic similarity is proposed. This approach, due to the use of possibilistic concepts, enables an important flexibility to integrate both contextual... 详细信息
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A method of pixel unmixing by classes based on the possibilistic similarity
A method of pixel unmixing by classes based on the possibili...
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3rd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2014
作者: Alsahwa, B. Almouahed, S. Guériot, D. Solaiman, B. Image and Information Processing Dept. Telecom Bretagne Institut Mines-Télécom Brest France Lab-STICC UMR CNRS 3192 Laboratoire en Sciences et Technologies de L'information de la Communication et de la Connaissance Institut Mines-Télécom-Télécom Bretagne-UEB Brest France
In this paper, an approach for pixel unmixing based on possibilistic similarity is proposed. This approach uses possibility distributions to express both the expert's semantic knowledge (a priori knowledge) and th... 详细信息
来源: 评论