H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 31 Citations 5,604 249 World Ranking 7957 National Ranking 70

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Shao-Yi Chien spends much of his time researching Artificial intelligence, Motion estimation, Computer vision, Embedded system and Image segmentation. Many of his studies on Artificial intelligence apply to Pattern recognition as well. His research integrates issues of Image processing, Real-time computing, Data compression and Computer hardware in his study of Motion estimation.

His work on Image scaling and Face as part of general Computer vision research is often related to Process and Cropping, thus linking different fields of science. His work deals with themes such as Color quantization and Cluster analysis, which intersect with Image segmentation. The study incorporates disciplines such as Image registration and Background subtraction in addition to Segmentation.

His most cited work include:

  • Efficient moving object segmentation algorithm using background registration technique (387 citations)
  • Analysis and architecture design of an HDTV720p 30 frames/s H.264/AVC encoder (263 citations)
  • Analysis and architecture design of variable block-size motion estimation for H.264/AVC (240 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Artificial intelligence, Computer vision, Computer hardware, Algorithm and Motion estimation. His study connects Pattern recognition and Artificial intelligence. His work on Computer graphics expands to the thematically related Computer vision.

His Computer hardware study combines topics from a wide range of disciplines, such as Real-time computing, Hardware architecture, Stream processing and Graphics. The various areas that he examines in his Algorithm study include Image processing and Interpolation. Shao-Yi Chien interconnects Macroblock, Frame rate, Motion compensation and Motion vector in the investigation of issues within Motion estimation.

He most often published in these fields:

  • Artificial intelligence (50.00%)
  • Computer vision (42.98%)
  • Computer hardware (17.84%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (50.00%)
  • Computer vision (42.98%)
  • Convolutional neural network (4.68%)

In recent papers he was focusing on the following fields of study:

Artificial intelligence, Computer vision, Convolutional neural network, Algorithm and Eye tracking are his primary areas of study. His work is dedicated to discovering how Artificial intelligence, Machine learning are connected with Semantics and other disciplines. His Computer vision research includes elements of Power consumption and Eye movement.

The concepts of his Convolutional neural network study are interwoven with issues in Computer hardware, Computation, Computer engineering and Speedup. As part of the same scientific family, Shao-Yi Chien usually focuses on Algorithm, concentrating on Convolution and intersecting with Kernel. His Eye tracking research includes themes of Image sensor and Gaze.

Between 2016 and 2021, his most popular works were:

  • Learning Superpixels with Segmentation-Aware Affinity Loss (46 citations)
  • Noise Reduction in ECG Signals Using Fully Convolutional Denoising Autoencoders (40 citations)
  • Learning to Compose with Professional Photographs on the Web (34 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Shao-Yi Chien focuses on Artificial intelligence, Computer vision, Convolutional neural network, Feature and Algorithm. His Artificial intelligence study frequently draws parallels with other fields, such as Pattern recognition. His Pattern recognition research is multidisciplinary, incorporating elements of Pixel, Noise and Leverage.

His Image, Object and RGB color model study in the realm of Computer vision connects with subjects such as Edge and Tone mapping. His studies deal with areas such as Ecg signal, Decoding methods, Noise reduction and Computer engineering as well as Convolutional neural network. Shao-Yi Chien studied Algorithm and Convolution that intersect with Computation, Reverberation and Ensemble learning.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Efficient moving object segmentation algorithm using background registration technique

Shao-Yi Chien;Shyh-Yih Ma;Liang-Gee Chen.
IEEE Transactions on Circuits and Systems for Video Technology (2002)

591 Citations

Analysis and architecture design of an HDTV720p 30 frames/s H.264/AVC encoder

Tung-Chien Chen;Shao-Yi Chien;Yu-Wen Huang;Chen-Han Tsai.
IEEE Transactions on Circuits and Systems for Video Technology (2006)

368 Citations

Analysis and architecture design of variable block-size motion estimation for H.264/AVC

Ching-Yeh Chen;Shao-Yi Chien;Yu-Wen Huang;Tung-Chien Chen.
IEEE Transactions on Circuits and Systems (2006)

329 Citations

Analysis and complexity reduction of multiple reference frames motion estimation in H.264/AVC

Yu-Wen Huang;Bing-Yu Hsieh;Shao-Yi Chien;Shyh-Yih Ma.
IEEE Transactions on Circuits and Systems for Video Technology (2006)

275 Citations

Fast image segmentation based on K-Means clustering with histograms in HSV color space

Tse-Wei Chen;Yi-Ling Chen;Shao-Yi Chien.
multimedia signal processing (2008)

238 Citations

Real-Time Salient Object Detection with a Minimum Spanning Tree

Wei-Chih Tu;Shengfeng He;Qingxiong Yang;Shao-Yi Chien.
computer vision and pattern recognition (2016)

226 Citations

Fast video segmentation algorithm with shadow cancellation, global motion compensation, and adaptive threshold techniques

Shao-Yi Chien;Yu-Wen Huang;Bing-Yu Hsieh;Shyh-Yih Ma.
IEEE Transactions on Multimedia (2004)

189 Citations

Predictive watershed: a fast watershed algorithm for video segmentation

Shao-Yi Chien;Yu-Wen Huang;Liang-Gee Chen.
IEEE Transactions on Circuits and Systems for Video Technology (2003)

147 Citations

Fast Algorithm and Architecture Design of Low-Power Integer Motion Estimation for H.264/AVC

Tung-Chien Chen;Yu-Han Chen;Sung-Fang Tsai;Shao-Yi Chien.
IEEE Transactions on Circuits and Systems for Video Technology (2007)

130 Citations

Global elimination algorithm and architecture design for fast block matching motion estimation

Yu-Wen Huang;Shao-Yi Chien;Bing-Yu Hsieh;Liang-Gee Chen.
IEEE Transactions on Circuits and Systems for Video Technology (2004)

111 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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