need study material

[somiyaa]

hi

I find your project really helpful and I am going to refer this in my thesis. would you be able to send me the study material related to this project?

[bassamarshad]

Hi,

Glad you are interested in citing my work in your thesis.

Basically, the contribution here is the downsampling of the HSV domain pixel resolution to a more manageable 8-bit (4-2-2) feature vector. This helps in the histogram comparison.

There isn't a lot of study material apart from the source code ... It's a straightforward approach actually ... I haven't implemented this in OpenCV (where you could get a larger array of histogram comparison techniques). What you can do and I thought about as extension work (never got a chance to pursue this) - use machine learning algorithms like kNN or SVM to do the classification or nearest neighbor searching.

I have a ppt - https://docs.google.com/presentation/d/1m5P6-pJyF2uELV0BCBqQ30ViisyGenLuVmBcfIfuJtA/edit?usp=sharing

-Bassam

On Thu, Oct 26, 2017 at 8:08 AM, somiyaa notifications@github.com wrote:

hi

I find your project really helpful and I am going to refer this in my thesis. would you be able to send me the study material related to this project?

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/bassamarshad/CBIR--Content-Based-Image-Retrieval/issues/1, or mute the thread https://github.com/notifications/unsubscribe-auth/AK0Wm4bpxWXzSHD4ui83c0lipqGAB4bCks5swIREgaJpZM4QHikM .

[bassamarshad]

more literature related to this project :

https://drive.google.com/drive/folders/0B23LG87Skiwffjd1NGhJNEZpaGNudlk0YjZiaTRCQks0blQzR3dlOWhoTmp0N29MOFVyWXM

On Thu, Oct 26, 2017 at 10:50 AM, bassam arshad bassamarshad@gmail.com wrote:

Hi,

Glad you are interested in citing my work in your thesis.

Basically, the contribution here is the downsampling of the HSV domain pixel resolution to a more manageable 8-bit (4-2-2) feature vector. This helps in the histogram comparison.

There isn't a lot of study material apart from the source code ... It's a straightforward approach actually ... I haven't implemented this in OpenCV (where you could get a larger array of histogram comparison techniques). What you can do and I thought about as extension work (never got a chance to pursue this) - use machine learning algorithms like kNN or SVM to do the classification or nearest neighbor searching.

I have a ppt - https://docs.google.com/presentation/d/1m5P6- pJyF2uELV0BCBqQ30ViisyGenLuVmBcfIfuJtA/edit?usp=sharing

-Bassam

On Thu, Oct 26, 2017 at 8:08 AM, somiyaa notifications@github.com wrote:

hi

I find your project really helpful and I am going to refer this in my thesis. would you be able to send me the study material related to this project?

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/bassamarshad/CBIR--Content-Based-Image-Retrieval/issues/1, or mute the thread https://github.com/notifications/unsubscribe-auth/AK0Wm4bpxWXzSHD4ui83c0lipqGAB4bCks5swIREgaJpZM4QHikM .

[somiyaa]

thanks for the help and suggestion. 👍 🥇 :-)