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Computer Science Department
College of Computer and Information Sciences
King Saud University
Project CSC 478
Due Date: May 21st, 2015 (8.00 am)
Part I: Data Collection due Sunday, April 19th (or before).
1- Dataset collection: Collect hundreds of grayscale images (200 hundred is the minimum). The dataset should include a least 4 categories. (e.g cars, horses, buildings, tigers…). The categories should be balanced (approximately the same number of images for each category).
2- Dataset labeling:
a. Assign a Label to each image. (E.g. For car image assign 1, horse 2, building 3 and tiger 4…).
b. After ordering your images, construct a vector containing the label of each image in same order of the images.
c. Save all images in a directory called ImagesDatayourName
d. Save the list of the image names ordred and its corresponding labeling vector in [login to view URL] and [login to view URL] files.
3- If needed, enhance or/and restore the images. Explain why it is need and the choice of the performed method.
Part II: Feature Extraction due Sunday, May 3rd (or before).
1- For each image from the image Data, extract at least one color feature.
2- Normalize you data. For each Feature, make each entry between 0 and 1 for all images.
3- Save each Feature in an MxN matrix where M is the number of images and N is the dimension of your Feature vector. You have to use the same order of the images as the one in your name and label files.
4- Write a Readme File that describes each Feature used, indicates the corresponding name of the Feature file, and the name of the Matlab function that extract it.
Part III: Retrieval due Thursday, May 21st (or before).
1. Query Image Q (Selection and display): Select and display the query image.
2. Retrieved image Rank 1, 2,3 and 4: Display the resulting retrieved image.
3. Dist(Q,R1), Dist(Q,R2), Dist(Q,R3), Dist(Q,R4): display the distance between the query and the retrieved image under the retrieved one.
4. Score of this retrieval: evaluates the current retrieval.
Computer Science Department
College of Computer and Information Sciences
King Saud University
Final Report
The final report should roughly have the following format:
Introduction - Motivation
Problem definition
Proposed method
Experiments
o Details of the experiments; observations
Conclusions (draw your own conclusions. Be creative)
You should email your final report to the instructor. A hard copy submission is not required.
Project Demonstrations
Once the project is completed, the following is expected of you:
a. A demonstration of your project where you show the features of your system, such as its correctness, efficiency, etc. You should be prepared to answer detailed questions on the system design and implementation during this demo. We will also examine your code to check for code quality, code documentation, etc.
b. You should also hand in a completed project report which contains details about your project, such as main data structures, main components of the algorithm, design of the user-interface for input/output, experimental results, e.g. charts of running time versus input size, etc.
c. You should also turn in your code and associated documentation (e.g. README files) so that everything can be backed up for future reference.
d. Email your code and all associated files to the tutor with “CSC 478-Project<Lastname>” as subject.
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freelancer 5 คน กำลังเสนอราคาในงานนี้ โดยมีราคาเฉลี่ยอยู่ที่ $211
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Hi, I can help you with this. please contact for further details. dont be fooled by low bids, they will never deliver you in time and complete project. regards
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