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Project Implementation for ITCS6157/8157. Jianping Fan Department of Computer Science University of North Carolina at Charlotte http://www.cs.uncc.edu/~jfan. 1. Build a system for supporting semantic image classification. System Components: a. Image analysis and feature extraction.

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Project implementation for itcs6157 8157

Project Implementation for ITCS6157/8157

Jianping Fan

Department of Computer Science

University of North Carolina at Charlotte

http://www.cs.uncc.edu/~jfan


Project implementation for itcs6157 8157

1. Build a system for supporting semantic image classification

System Components:

a. Image analysis and feature extraction

(1) Image segmentation using JSEG

You can download jseg image segmentation source code from:

http://vision.ece.ucsb.edu/segmentation/jseg/

(2) Feature extraction: extract color histogram, color moments,

Tamular textures (moments et al.) from each

homogeneous regions

(3) Region classifier training

You can download software from:

http://www.cs.cornell.edu/people/tj/svm_light/

http://www.csie.ntu.edu.tw/~cjlin/libsvm/


Project implementation for itcs6157 8157

(4) Region merging classification

After the labels for the homogeneous regions are obtained, the neighboring regions

with the same label will be merged as one big region for the relevant salient object

(5) Interesting point detection

You can download software from:

http://vision.ucla.edu/~vedaldi/code/sift/sift.html

Detecting the object via SIFT features

(6) Object-Based feature extraction

Extract color histogram, color moments, textures, and SIFT from salient objects


Project implementation for itcs6157 8157

(7) Concept classifier training classification

positive samples

negative samples

positive support vectors

margin

negative support vectors

You can download software from:

http://www.cs.cornell.edu/people/tj/svm_light/

http://www.csie.ntu.edu.tw/~cjlin/libsvm/


You need to build classifiers for
You need to build classifiers for: classification

  • Salient Objects

  • Tree, grass, red flower, yellow flower, sky

    water, sand, road, car, building

  • Image Concepts

  • Garden, beach


Project implementation for itcs6157 8157

2. Build a system for automatic shot detection from MPEG video clips

a. Download MPEG source code from:

http://www.ivor.it/cle266/

http://bmrc.berkeley.edu/frame/research/mpeg/

b. Compute frame difference between the neighboring frames according to

their color histograms

c. Make decision via thresholding


What you need to do
What you need to do? video clips

  • Implement a demonstration system;

  • Be ready to interpret some functionalities of your implementations;

  • Understanding the keys


Project implementation for itcs6157 8157

3. Read research papers and give presentation in class video clips

  • Understand the research papers deeply!

  • Prepare slides for presentation;

  • Answer questions from professor and students

  • Schedule will be announced next week!

You can pick up one of these three and work on it!