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Representing Visual Objects in HEVC Coding Loop

نوع: Journal Paper

نویسنده : Tiejun Huang; Siwei Dong; Yonghong Tian

ناشر: IEEE

سال: 2014

Background-foreground division based search for motion estimation in surveillance video coding

نوع: Conference Paper

نویسنده : Long Zhao , Yonghong Tian , Tiejun Huang

ناشر: IEEE

سال: 2014

Rate control for consistent video quality with inter-dependent distortion model for HEVC

نوع: Journal Paper

نویسنده : Yuan Li; Huizhu Jia; Xiaodong Xie; Tiejun Huang

سال: 2016

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Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation

نوع: Journal Paper

نویسنده : Jia Li; Yonghong Tian; Xiaowu Chen; Tiejun Huang

سال: 2016

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Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes

نوع: Journal Paper

نویسنده : Yonghong Tian; Jia Li; Shui Yu; Tiejun Huang

سال: 2014

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The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems

نوع: Journal Paper

نویسنده : Wen Gao; Yonghong Tian; Tiejun Huang; Siwei Ma; Xianguo Zhang

ناشر: IEEE

سال: 2014

Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding

نوع: Journal Paper

نویسنده : Xianguo Zhang; Tiejun Huang; Yonghong Tian; Wen Gao

ناشر: IEEE

سال: 2014

Overview of IEEE 1857.3: Systems of advanced audio and video coding

نوع: Conference Paper

نویسنده : Luntian Mou , Xilin Chen , Tiejun Huang , Wen Gao

ناشر: IEEE

سال: 2014

Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks

نوع: Journal Paper

نویسنده : Yemin Shi; Wei Zeng; Tiejun Huang; Yaowei Wang

سال: 2015

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Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling

نوع: Journal Paper

نویسنده : Xianguo Zhang; Yonghong Tian; Tiejun Huang; Siwei Dong; Wen Gao

ناشر: IEEE

سال: 2014

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Representing Visual Objects in HEVC Coding Loop

Background-foreground division based search for motion estimation in surveillance video coding

Rate control for consistent video quality with inter-dependent distortion model for HEVC

Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation

Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes

The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems

Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding

Overview of IEEE 1857.3: Systems of advanced audio and video coding

Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks

Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling

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Representing Visual Objects in HEVC Coding Loop

Background-foreground division based search for motion estimation in surveillance video coding

Rate control for consistent video quality with inter-dependent distortion model for HEVC

Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation

Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes

The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems

Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding

Overview of IEEE 1857.3: Systems of advanced audio and video coding

Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks

Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling