2018 - IEEE Fellow For contributions to multimedia coding and editing
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Image processing and Motion compensation. Chia-Wen Lin studies Video denoising which is a part of Artificial intelligence. The Pattern recognition study combines topics in areas such as Image, Inpainting, Discrete cosine transform and Feature.
His Image processing study combines topics in areas such as Bilateral filter and Sparse approximation. His Motion compensation research is multidisciplinary, incorporating elements of Block-matching algorithm and Video compression picture types. His research integrates issues of Motion estimation, Quarter-pixel motion and Multiview Video Coding in his study of Block-matching algorithm.
Chia-Wen Lin mainly focuses on Artificial intelligence, Computer vision, Pattern recognition, Image and Algorithm. His Computer vision and Motion estimation, Image processing, Motion compensation, Object and Image resolution investigations all form part of his Computer vision research activities. Chia-Wen Lin combines subjects such as Image quality and Sparse approximation with his study of Image processing.
The various areas that he examines in his Motion compensation study include Transcoding, Video tracking, Block-matching algorithm, Video compression picture types and Motion vector. His research investigates the connection between Pattern recognition and topics such as Cluster analysis that intersect with issues in Feature learning. His Algorithm research is multidisciplinary, incorporating perspectives in Graph, Encoder, Coding and Filter.
Chia-Wen Lin focuses on Artificial intelligence, Pattern recognition, Image, Computer vision and Convolutional neural network. His studies in Artificial intelligence integrate themes in fields like Machine learning and Code. The study incorporates disciplines such as Prior probability, Noise, Face and Generative grammar in addition to Pattern recognition.
His Image research integrates issues from Segmentation, Similarity, Hash function, Data stream mining and Semantic similarity. Chia-Wen Lin incorporates Computer vision and Visible infrared in his research. His Convolutional neural network research focuses on subjects like Noise reduction, which are linked to Compression, DUAL and Gaussian noise.
His main research concerns Artificial intelligence, Pattern recognition, Convolutional neural network, Image and Computer vision. The concepts of his Artificial intelligence study are interwoven with issues in User experience design and Constraint. His research in Pattern recognition intersects with topics in Graph, Deep learning and Face.
His research in Convolutional neural network tackles topics such as Noise reduction which are related to areas like Gaussian noise and Noise. His Image research includes elements of Segmentation, Theoretical computer science and Code. Chia-Wen Lin studies Single image, a branch of Computer vision.
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Automatic Single-Image-Based Rain Streaks Removal via Image Decomposition
Li-Wei Kang;Chia-Wen Lin;Yu-Hsiang Fu.
IEEE Transactions on Image Processing (2012)
Digital Video Transcoding
Jun Xin;Chia-Wen Lin;Ming-Ting Sun.
Proceedings of the IEEE (2005)
Motion vector refinement for high-performance transcoding
Jeongnam Youn;Ming-Ting Sun;Chia-Wen Lin.
IEEE Transactions on Multimedia (1999)
Saliency Detection in the Compressed Domain for Adaptive Image Retargeting
Yuming Fang;Zhenzhong Chen;Weisi Lin;Chia-Wen Lin.
IEEE Transactions on Image Processing (2012)
A Video Saliency Detection Model in Compressed Domain
Yuming Fang;Weisi Lin;Zhenzhong Chen;Chia-Ming Tsai.
IEEE Transactions on Circuits and Systems for Video Technology (2014)
Video forgery detection using correlation of noise residue
Chih-Chung Hsu;Tzu-Yi Hung;Chia-Wen Lin;Chiou-Ting Hsu.
multimedia signal processing (2008)
Self-Learning Based Image Decomposition With Applications to Single Image Denoising
De-An Huang;Li-Wei Kang;Yu-Chiang Frank Wang;Chia-Wen Lin.
IEEE Transactions on Multimedia (2014)
Bottom-Up Saliency Detection Model Based on Human Visual Sensitivity and Amplitude Spectrum
Yuming Fang;Weisi Lin;Bu-Sung Lee;Chiew-Tong Lau.
IEEE Transactions on Multimedia (2012)
Wireless video transport using conditional retransmission and low-delay interleaving
S. Aramvith;Chia-Wen Lin;S. Roy;Ming-Ting Sun.
IEEE Transactions on Circuits and Systems for Video Technology (2002)
Dynamic frame-skipping in video transcoding
Jenq-Neng Hwang;Tzong-Der Wu;Chia-Wen Lin.
multimedia signal processing (1998)
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