跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
查看斯高帕斯 (Scopus) 概要
蔡 文錦
副教授
多媒體工程研究所
電話
03-5712121#54816
電子郵件
wjtsai
cs.nycu.edu
tw
網站
http://www.cs.nctu.edu.tw/~wjtsai/
h-index
h10-index
h5-index
619
引文
12
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
177
引文
7
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
11
引文
2
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
1994 …
2024
每年研究成果
概覽
指紋
網路
計畫
(21)
研究成果
(64)
獎項
(5)
類似的個人檔案
(6)
指紋
查看啟用 Wen-Jiin Tsai 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Baseball Videos
100%
Baseball
47%
Multiple Description Video Coding
47%
Video Sequences
39%
Redundancy
36%
Multiple Description Coding
35%
Error Resilience
34%
Ball Tracking
33%
Unequal Error Protection
33%
Hierarchical B pictures
33%
H.264 Encoder
28%
Human Body
28%
Image-based
27%
Event Classification
26%
Non-contact Method
26%
Ball Trajectory
26%
Error-prone
25%
Video Event Classification
24%
Macroblock
24%
3D Trajectory
23%
Physical Characteristics
23%
Pitch Location
22%
Protection Scheme
22%
LFSR Reseeding
22%
Error Correction Codes
22%
Test Data Volume
22%
Single Camera
22%
Location Positioning
22%
Tracking Trajectory
22%
Rate-distortion
22%
Respiratory Rate
22%
Multimedia Databases
22%
Aerial Image
22%
Exploration System
22%
Multimodal Features
22%
Human Action Recognition
22%
Virtual Try-on
22%
Transformer
22%
Error Concealment
21%
2D to 3D
21%
3D Inference
21%
Estimation Method
21%
B-frames
20%
Coding Efficiency
20%
Ball Motion
19%
Bit Rate
19%
Computer-assisted
19%
Contact Measurement
18%
Buffer Sharing
18%
Video Server
18%
Computer Science
Experimental Result
86%
Video Sequences
40%
Physical Characteristic
38%
multiple description coding
35%
Error Concealment
35%
Information Retrieval
35%
Multimedia
33%
Estimation Method
31%
Error Resilience
30%
Coding Efficiency
29%
Research Effort
27%
Video Processing
27%
Analysis System
27%
Annotation
24%
Macroblock
24%
Virtual Try-On
22%
Computational Efficiency
22%
unequal error protection
22%
linear-feedback shift register
22%
human action recognition
22%
Video-on-Demand
22%
Spatial Pattern
22%
Camera Calibration
22%
Protection Scheme
22%
Higher Semantic Level
22%
Temporal Context
22%
Input/Output
18%
Video Compression
17%
Object Detection
16%
video server
15%
Deep Learning Method
14%
Compression Ratio
14%
Data Augmentation
13%
Spatial Dimension
13%
Temporal Dimension
13%
rate distortion
13%
Motion Estimation
11%
Test Data Volume
11%
Multimedia Data
11%
Multiple Reference Frame
11%
Image Synthesis
11%
Reference Plane
11%
Desired Aspect Ratio
11%
Anomalous Trajectory
11%
Lstm
11%
Pose Estimation
11%
Video Summarization
11%
feature descriptor
11%
Event Detection
11%
Offensive Player
11%