Explore and describe any one application of Video processing and summarise the following.

$($

Points also suffice

$)$

Application domain, application description in one sentence, significance of application in the industry

$($

one sentence

$)$

$.$

$$

Data acquisition technique used, annotated data, volume of data needed

$/$

used

$,$

$$any video pre

$-$

processing methods used, video processing techniques, evaluation

$/$

Performance metric used, Dataset used

$($

URL if public dataset

$)$

Qn

$1$

$$should focus on video processing technique

Pl restrict to the functionalities mentioned in the handout.

Add the references

$($

URL

$)$

$.$

Explore any one machine

$/$

$$deep learning algorithm

$/$

technique for the application chosen in Question

$1$

$.$

$$

For the application chosen, search and summarise in detail the ML

$/$

DL technique that can be used.

Qn

$2$

$$ should focus on ML

$/$

DL technique for Qn

$1$

$.$

ML algorithm used and its details including training and optimisation techniques. Why was the ML technique used?

Why was the DL technique used? Architecture of Deep Learning

$($

including the number of layers, types of layers, activation functions, and any unique features

$)$

$.$

$$Network application

$($

e

$.$

g

$.$

$,$

$$feature engineering, classification, regression

$)$

$,$

$$Training procedures

$($

e

$.$

$$g

$,$

$$training strategy, including optimization algorithms, learning rates, batch sizes, and regularization techniques

$)$

Evaluation

$/$

$$Performance metric used, Dataset used

$($

URL if public dataset

$)$

Add the references

$($

URL

$)$

$.$

Explore and describe any one published journal for video processing and summarise the following.

$($

Points will suffice

$)$

Include Title, Authors, Year, video functionality, significance of journal in academia

$($

where is it contributing to

$)$

$($

one sentence

$)$

$.$

$$

Data acquisition technique used, annotated data, volume of data needed

$/$

used

$,$

$$any video pre

$-$

processing methods used, video processing techniques, evaluation

$/$

Performance metric used, Dataset used

$($

URL if public dataset

$)$

Qn

$3$

$$should focus on video processing technique

Pl restrict to the functionalities mentioned in the handout.

Add the references

$($

URL

$)$

$.$

Explore any one machine

$/$

$$deep learning algorithm

$/$

technique for the journal chosen in Question

$3$

$.$

$$

For the application chosen, search and summarise in detail the ML

$/$

DL technique that can be used.

Qn

$4$

$$ should focus on ML

$/$

DL technique for Qn

$3$

$.$

ML algorithm used and its details including training and optimisation techniques. Why was the ML technique used?

Why was the DL technique used? Architecture of Deep Learning

$($

including the number of layers, types of layers, activation functions, and any unique features

$)$

$.$

$$Network application

$($

e

$.$

g

$.$

$,$

$$feature engineering, classification, regression

$)$

$,$

$$Training procedures

$($

e

$.$

$$g

$,$

$$training strategy, including optimization algorithms, learning rates, batch sizes, and regularization techniques

$)$

Evaluation

$/$

$$Performance metric used, Dataset used

$($

URL if public dataset

$)$

Add the references

$($

URL

$)$

$.$