Presentation: Reviews and talks on ICME 2016
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1 Presentation: Reviews and talks on ICME 2016 Cho-Ying Wu Disp Lab Graduate Institute of Communication Engineering National Taiwan University December 07, / 70 Cho-Ying Wu Disp Lab
2 Introduction ICME is a high-class conference on Multimedia. Multimedia? Graphics Speech Vision Display Data Mining Video 2 / 70 Cho-Ying Wu Disp Lab
3 Introduction Top conference on multimedia and related CVPR / ICCV, ECCV, ACM MM Generally, ICME is suitable for MS(30%), PhD(65%) students to challenge. Recruitments from industrial are also a lot. 3 / 70 Cho-Ying Wu Disp Lab
4 Introduction Topics this year : ( Video and Vision are the most popular in the trend) 4 / 70 Cho-Ying Wu Disp Lab
5 Roadmap 1 Impressive Talks (1) Fei-Fei Li, Associate Professor, A Quest for Visual Intelligence. Computer Science Dept. Director, Stanford Artificial Intelligence Lab. (2) Mathias Wien, High Efficiency Video Coding Coding Tools and Specification: HEVC V3 and Coming Developments 2 Interesting Works (1) Gene Cheung, Xian Ming Liu Graph Signal Processing for Image Compression and Restoration, Nii. (2) Xian Ming Liu, Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images, HIT. 5 / 70 Cho-Ying Wu Disp Lab
6 Fei-Fei Li 6 / 70 Cho-Ying Wu Disp Lab
7 Fei-Fei Li 7 / 70 Cho-Ying Wu Disp Lab
8 Fei-Fei Li 8 / 70 Cho-Ying Wu Disp Lab
9 Fei-Fei Li 9 / 70 Cho-Ying Wu Disp Lab
10 Fei-Fei Li 10 / 70 Cho-Ying Wu Disp Lab
11 Fei-Fei Li 11 / 70 Cho-Ying Wu Disp Lab
12 Semantic Segmentation 12 / 70 Cho-Ying Wu Disp Lab
13 Fei-Fei Li 13 / 70 Cho-Ying Wu Disp Lab
14 Fei-Fei Li 14 / 70 Cho-Ying Wu Disp Lab
15 Fei-Fei Li 15 / 70 Cho-Ying Wu Disp Lab
16 Fei-Fei Li 16 / 70 Cho-Ying Wu Disp Lab
17 Fei-Fei Li 17 / 70 Cho-Ying Wu Disp Lab
18 Fei-Fei Li 18 / 70 Cho-Ying Wu Disp Lab
19 Fei-Fei Li 19 / 70 Cho-Ying Wu Disp Lab
20 Fei-Fei Li 20 / 70 Cho-Ying Wu Disp Lab
21 Fei-Fei Li 21 / 70 Cho-Ying Wu Disp Lab
22 Fei-Fei Li 22 / 70 Cho-Ying Wu Disp Lab
23 Fei-Fei Li 23 / 70 Cho-Ying Wu Disp Lab
24 Fei-Fei Li 24 / 70 Cho-Ying Wu Disp Lab
25 Fei-Fei Li 25 / 70 Cho-Ying Wu Disp Lab
26 Fei-Fei Li 26 / 70 Cho-Ying Wu Disp Lab
27 Fei-Fei Li 27 / 70 Cho-Ying Wu Disp Lab
28 Mathias Wien 28 / 70 Cho-Ying Wu Disp Lab
29 Mathias Wien 29 / 70 Cho-Ying Wu Disp Lab
30 Mathias Wien 30 / 70 Cho-Ying Wu Disp Lab
31 Mathias Wien 31 / 70 Cho-Ying Wu Disp Lab
32 Mathias Wien 32 / 70 Cho-Ying Wu Disp Lab
33 Mathias Wien 33 / 70 Cho-Ying Wu Disp Lab
34 Mathias Wien 34 / 70 Cho-Ying Wu Disp Lab
35 Mathias Wien 35 / 70 Cho-Ying Wu Disp Lab
36 Mathias Wien 36 / 70 Cho-Ying Wu Disp Lab
37 Mathias Wien 37 / 70 Cho-Ying Wu Disp Lab
38 Mathias Wien 38 / 70 Cho-Ying Wu Disp Lab
39 Mathias Wien 39 / 70 Cho-Ying Wu Disp Lab
40 Mathias Wien 40 / 70 Cho-Ying Wu Disp Lab
41 Mathias Wien 41 / 70 Cho-Ying Wu Disp Lab
42 Mathias Wien 42 / 70 Cho-Ying Wu Disp Lab
43 Mathias Wien 43 / 70 Cho-Ying Wu Disp Lab
44 Mathias Wien 44 / 70 Cho-Ying Wu Disp Lab
45 Mathias Wien 45 / 70 Cho-Ying Wu Disp Lab
46 Mathias Wien 46 / 70 Cho-Ying Wu Disp Lab
47 Mathias Wien 47 / 70 Cho-Ying Wu Disp Lab
48 Mathias Wien 48 / 70 Cho-Ying Wu Disp Lab
49 Mathias Wien 49 / 70 Cho-Ying Wu Disp Lab
50 Mathias Wien 50 / 70 Cho-Ying Wu Disp Lab
51 Gene Cheung (1) Gene Cheung, Xian Ming Liu Graph Signal Processing for Image Compression and Restoration, Nii. Traditional signal property: 1 1. Discrete 2. Smooth 3. Band-limited frequency Ex. DCT ( Approx. of KLT ) N 1 1 X k xncos n k n 0 N 2 a x Dictionary representation inducing sparse coding 51 / 70 Cho-Ying Wu Disp Lab
52 Gene Cheung Graph Signal : Signal live on graph Ex. Images: 2D grid Research interest: 1. Sampling : how to efficiently acquire signal from graph 2. Representation : Given the graph signal, how to compactly represent it. 3. Signal Restoration : given the partial or noisy signal, how to recover the structure. 52 / 70 Cho-Ying Wu Disp Lab
53 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 53 / 70 Cho-Ying Wu Disp Lab
54 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 54 / 70 Cho-Ying Wu Disp Lab
55 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 55 / 70 Cho-Ying Wu Disp Lab
56 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 56 / 70 Cho-Ying Wu Disp Lab
57 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 57 / 70 Cho-Ying Wu Disp Lab
58 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 58 / 70 Cho-Ying Wu Disp Lab
59 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 59 / 70 Cho-Ying Wu Disp Lab
60 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 60 / 70 Cho-Ying Wu Disp Lab
61 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 61 / 70 Cho-Ying Wu Disp Lab
62 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 D: distortion R: bit-rate Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 62 / 70 Cho-Ying Wu Disp Lab
63 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 63 / 70 Cho-Ying Wu Disp Lab
64 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 64 / 70 Cho-Ying Wu Disp Lab
65 Gene Cheung Graph Laplacian : 1. Adjancency Matrix 1 Remark: Sometimes the original problem is hard to solve, we can change the original problem (primal problem) into dual problem 65 / 70 Cho-Ying Wu Disp Lab
66 Gene Cheung 1 Wei Hu, Gene Cheung, Antonio Ortega, Oscar Au, "Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images," IEEE Transactions on Image Processing, vol.24, no.1, pp , January / 70 Cho-Ying Wu Disp Lab
67 Gene Cheung Skipped part 1 1. PWS image coding : Generalized GFT with intra-coding of H Lifting implementation : lowering complexity from O(N 2 ) to O(Nlog(N)) 3. Image denoising with sparsity and smoothness prior 67 / 70 Cho-Ying Wu Disp Lab
68 Xianming Liu : Soft decoding of JPEG images 1 68 / 70 Cho-Ying Wu Disp Lab
69 Xianming Liu : Soft decoding of JPEG images 1 69 / 70 Cho-Ying Wu Disp Lab
70 Xianming Liu : Soft decoding of JPEG images 1 70 / 70 Cho-Ying Wu Disp Lab
71 Xianming Liu : Soft decoding of JPEG images 1 71 / 70 Cho-Ying Wu Disp Lab
72 Xianming Liu : Soft decoding of JPEG images 1 72 / 70 Cho-Ying Wu Disp Lab
73 Xianming Liu : Soft decoding of JPEG images 1 73 / 70 Cho-Ying Wu Disp Lab
74 Xianming Liu : Soft decoding of JPEG images 1 74 / 70 Cho-Ying Wu Disp Lab
75 Xianming Liu : Soft decoding of JPEG images 1 75 / 70 Cho-Ying Wu Disp Lab
76 Xianming Liu : Soft decoding of JPEG images 1 Ln:Normalized Laplacian See p / 70 Cho-Ying Wu Disp Lab
77 Xianming Liu : Soft decoding of JPEG images 1 77 / 70 Cho-Ying Wu Disp Lab
78 Xianming Liu : Soft decoding of JPEG images 1 78 / 70 Cho-Ying Wu Disp Lab
79 Xianming Liu : Soft decoding of JPEG images 1 79 / 70 Cho-Ying Wu Disp Lab
80 Xianming Liu : Soft decoding of JPEG images 1 80 / 70 Cho-Ying Wu Disp Lab
81 Xianming Liu : Soft decoding of JPEG images 1 81 / 70 Cho-Ying Wu Disp Lab
82 Xianming Liu : Soft decoding of JPEG images 1 82 / 70 Cho-Ying Wu Disp Lab
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