1. Research Institute for Future Media Computing
未来媒体技术与计算研究所
Research Institute for Future Media Computing
7. DCT-based Research Topics
江健民，国家千人计划特聘教授
深圳大学未来媒体技术与计算研究所所长
Office Room: 409

2. Research Road Map Input Information or Data
Visualization to convert the data into 2D or other multi-dimensional sets
Data transform via Fourier, DCT, etc.
Feature extraction and analysis in transform domain

3. 7.2 Extraction of Block Edge Patterns
H. S. Chang and K. Kang, “A compressed-domain scheme for classifying block edge patterns,” IEEE Trans. Image Process., vol. 14, no. 2, pp. 145–151, Feb
Jiang J., Qiu K. and G. Xiao (2008) “An edge block content descriptor for MPEG compressed videos”, IEEE Transactions on Circuits, Systems and Video Tech. Vol 18, No 7, pp ;

4. Edge Orientation Analysis in Pixel Domain
Horizontal edge measurement:

5. Vertical edge measurement:
Diagonal edge (45 degrees) measurement:

6. Diagonal edge (135 degrees) measurement:
No-edge measurement:
An emphasis factor

7. Existing Work [1]: Edge Orientation Analysis in DCT Domain
Edge orientation measurement in compressed domain:

8. Block-Edge-Pattern (BEP) Detection:

9. Exploiting image extraction technique to redesign the BEP detection algorithm
We have:

10. Exploiting image extraction technique to redesign the BEP detection algorithm
Existing work:

11. Existing work fix the no-edge value
With our idea, the no-edge measurement can also be worked out in compressed domain:
New EBP detection:

12. Summary
This is a new idea for research, and thus you are encouraged to implement the BEP detection algorithm and come to see me for further discussion if you wish;
You can start by downloading the source codes written in C from the Institute’s WEB site, and run the programme to extract the DCT coefficients;
In comparison with the existing work [1], the new BEP detection has the advantage that no fixed threshold value is needed for detecting no-edge orientations, and hence adaptive to the input image;
Further research can be done to extend to video BEP detection, and use the BEP feature for other applications, such as pattern recognitions etc.

13. An example of the experiment design
JPEG compressed
images
Extract the first four DCT coefficients (b00, b01, b10, b11)
Producing edge-label images
Compare with the existing algorithm [1]
Results and analysis
Fist four DCT coefficients extraction from videos
BEP detection from videos
Results and analysis