NICE..... IT'S 1:47 IN THE NIGHT RIGHT NOW.... SEARCHED WHOLE TH-cam BUT WAS UNABLE TO UNDERSTAND (DCT) AND THEN YOUR VIDEO CAME INTO THE RECOMMENDATION.... AND BOOM ..... I GOT THE TOPIC...
First I don't know any topics on dip , because i hadn't listen a single class in the clg , during the exams i listened some concepts from this channel , really your explanation was very superb ,within 1 hour i completed histograms, convolution, dct
Hi Madam, First of all great thanks for your lecturers. Please upload the topics listed below Fourier descriptors moment invariants co-occurance features texture descriptor Maximum Likelihood Estimation Bayesian rule kernel based approaches hierarchical clustering algorithm shadow removal handling occlusion background subtraction
Madam thanks for nice lecture but please dont write in screen because no one able to note behind text value . We can easily listen that you speak. So please no need to write.
NICE..... IT'S 1:47 IN THE NIGHT RIGHT NOW.... SEARCHED WHOLE TH-cam BUT WAS UNABLE TO UNDERSTAND (DCT) AND THEN YOUR VIDEO CAME INTO THE RECOMMENDATION.... AND BOOM ..... I GOT THE TOPIC...
Great to hear that!😊 Best of luck👍🏻
Came for the concept of 2D-DCT, understood it clearly. Great work!
First I don't know any topics on dip , because i hadn't listen a single class in the clg , during the exams i listened some concepts from this channel , really your explanation was very superb ,within 1 hour i completed histograms, convolution, dct
Really, tommorrow is my exam, your videos are helping me for that , now watching dct video thank you
I hope continue for the other subjects too
But raise the voice a little bit even on high sound on earphones can't able to hear loudly
1. Tomorrow is my exam and this video turned out to be a savior. Thankyou 👏
2. Went through your channel, why have you stopped posting more videos ??
Finding it difficult to find time
:( But will try my best to upload more videos. Thanks for your support! :)
Very thankful
tomorrow is my exam and I was absolutely clueless about the topics that you explained so brilliantly thankss!!!
Padh liya kar mere pyare engineer😂
thank u so much for this, i got stuck on DCT for days already
Trying hard to understand but you made it easy ❤😊
Huge thanks for the formula!
Thanks a lot for this series.
how do you calculate the kernel function?
for 1D DCT the answer should be [5 -2.2302 0 -0.1586 ]
By the way, Thank you ma'am.
Mam in haar transform the kernal matrix will be given or we have to remember by ourselves?
better than my lecturer, wish i could ask refund from useless college
thank you for helping
you helped me a lot...thanks
how to find kernel of DCT. is it given in question or we have to find out .
We have to find that using a formula. If you're still interested, share your email with me and I'll email u the notes where u can follow the steps
There is a youtube tut to find nxn dct kernel
How to find kenel of 2 point dct
After multiplying 3 matrices how do you get 4 2 -1 3 ?? I didn't get the answer..pls reply
yeah it's a mistake, it's gonna be 4 -1 2 3
Hi Madam,
First of all great thanks for your lecturers.
Please upload the topics listed below
Fourier descriptors
moment invariants
co-occurance features
texture descriptor
Maximum Likelihood Estimation
Bayesian rule
kernel based approaches
hierarchical clustering algorithm
shadow removal
handling occlusion
background subtraction
Thanks for the suggestions. Will look into it!
How to calculate the kernal...?
Any video about KL transform?
I love your voice ❤
Excellent explanation
Thanku so much mam
Great lecture
thank you so muchhhhhhhh
Exam's in 2hours. Let's see how much of this can get into this thick skull😪
today afternoon exam and this is life saviour
Hi, can u show on fft?
How u taken matrix
luv u ma'am ❤️😘
did DCT compressed the image without quantization?
Voice sarriga led mer chepedi voice untete armd avvudi
Hey !! You are indian right??
Yes
Can't hear your voice at all🤦♂️
I can feel/understand why are you smiling at some points 😏
Madam thanks for nice lecture but please dont write in screen because no one able to note behind text value . We can easily listen that you speak. So please no need to write.
How to find the kernel of 8 point dct
Ok I got it there is a formula to calculate it
@@ganeshtowar8050 how?