Open nehavish006 opened 1 year ago
Hi, I am very much interested and would like to contribute as a part of @GSSOC'23. Please assign the task to me. Thank you.
@nehavish006 I have assigned this particular project to you under GSSOC 23. Will you be able to manage the project alone or would you like to collaborate with other contributors
All the best contributing if you have any doubts on the project structure feel free to contact me
Thanks for assigning this to me sir.I feel elated in contributing to open source community.I think that I can manage it alone sir.
With regards, Snekha C
On Sat, May 20, 2023, 10:12 PM Adithya S K @.***> wrote:
@nehavish006 https://github.com/nehavish006 I have assigned this particular project to you under GSSOC 23. Will you be able to manage the project alone or would you like to collaborate with other contributors
All the best contributing if you have any doubts on the project structure feel free to contact me
— Reply to this email directly, view it on GitHub https://github.com/CognitiveLab-tech/World-of-AI/issues/6#issuecomment-1555949291, or unsubscribe https://github.com/notifications/unsubscribe-auth/AQNTX4MX3P3TBF5MIUQCAD3XHDX7NANCNFSM6AAAAAAYIY3VWQ . You are receiving this because you were mentioned.Message ID: @.***>
Project Request
Automatic captioning of videos based on cooking by understanding the action behind the scene and providing Nutrtional information based on the ingredients used.
https://github.com/nehavish006
Define You
GSSOC Participant Contributor - Snekha C | Contributor
Project Name
Description
Video Captioning is a task of automatic captioning a video by understanding the action and event in the video which can help in the retrieval of the video efficiently through text. Video Captioning is an encoder decoder mode based on sequence to sequence learning. Automated video caption generator helps searching of videos in websites better and make content easier. The video information is considered as a sequence of images with 10 to 12 seconds short video clips. In the proposed system, Convolutional Neural Networks (VGG 16) is used for feature extraction and LSTM is used for encoding and decoding the features. Greedy search algorithm is used for predicting the efficient caption and gives speedy word extraction. Finally, the language converter is used for specific people language to understand the captions.
Scope
Objectives:
Deliverables:
Timeline
Start date : The date of assignment End date: June 15 2023
Video Links or Support Links
Sandeep Samleti , Ashish Mishra , Alok Jhajhria , Shivam Kumar Rai, Gaurav Malik, 2021, "Real Time Video Captioning Using Deep Learning", International Journal Of Engineering Research & Technology (IJERT) Volume 10, Issue 12 (December 2021).