Application of Real-time Automatic Cartoon Style Generation from Live video

G. M. Harshitha; Ramyashree Ramyashree; Vasudeva

doi:10.1109/ICONAT57137.2023.10080457

Application of Real-time Automatic Cartoon Style Generation from Live video

G. M. Harshitha^*
, Ramyashree
, Vasudeva

^*Corresponding author for this work

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Converting live video to cartoons is a favorable technology. The main objective of the project is to transform live videos into animated or cartoon videos. The prior transformation approach needs sophisticated computer abilities and graphics. The idea of the project is to convert videos into an art form such as painting. There are various methods for turning real-world photos and videos into cartoons, but among all of them, the application of a Generative Adversarial Network (GAN) dubbed Cartoon GAN will be employed for style. Using real-world live footage being captured by a camera, high-quality cartoonized live video was produced with the aid of GAN.

Original language	English
Title of host publication	2023 International Conference for Advancement in Technology, ICONAT 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665475174
DOIs	https://doi.org/10.1109/ICONAT57137.2023.10080457
Publication status	Published - 2023
Event	2nd International Conference for Advancement in Technology, ICONAT 2023 - Goa, India Duration: 24-01-2023 → 26-01-2023

Publication series

Name	2023 International Conference for Advancement in Technology, ICONAT 2023

Conference

Conference	2nd International Conference for Advancement in Technology, ICONAT 2023
Country/Territory	India
City	Goa
Period	24-01-23 → 26-01-23

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing
Energy Engineering and Power Technology
Electrical and Electronic Engineering
Media Technology

Access to Document

10.1109/ICONAT57137.2023.10080457

Cite this

Harshitha, G. M., Ramyashree, & Vasudeva (2023). Application of Real-time Automatic Cartoon Style Generation from Live video. In 2023 International Conference for Advancement in Technology, ICONAT 2023 (2023 International Conference for Advancement in Technology, ICONAT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICONAT57137.2023.10080457

@inproceedings{870f878065464f2b88005d3e3c0a1c79,

title = "Application of Real-time Automatic Cartoon Style Generation from Live video",

abstract = "Converting live video to cartoons is a favorable technology. The main objective of the project is to transform live videos into animated or cartoon videos. The prior transformation approach needs sophisticated computer abilities and graphics. The idea of the project is to convert videos into an art form such as painting. There are various methods for turning real-world photos and videos into cartoons, but among all of them, the application of a Generative Adversarial Network (GAN) dubbed Cartoon GAN will be employed for style. Using real-world live footage being captured by a camera, high-quality cartoonized live video was produced with the aid of GAN.",

author = "Harshitha, \{G. M.\} and Ramyashree and Vasudeva",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd International Conference for Advancement in Technology, ICONAT 2023 ; Conference date: 24-01-2023 Through 26-01-2023",

year = "2023",

doi = "10.1109/ICONAT57137.2023.10080457",

language = "English",

series = "2023 International Conference for Advancement in Technology, ICONAT 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 International Conference for Advancement in Technology, ICONAT 2023",

address = "United States",

}

Harshitha, GM, Ramyashree & Vasudeva 2023, Application of Real-time Automatic Cartoon Style Generation from Live video. in 2023 International Conference for Advancement in Technology, ICONAT 2023. 2023 International Conference for Advancement in Technology, ICONAT 2023, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference for Advancement in Technology, ICONAT 2023, Goa, India, 24-01-23. https://doi.org/10.1109/ICONAT57137.2023.10080457

Application of Real-time Automatic Cartoon Style Generation from Live video. / Harshitha, G. M.; Ramyashree; Vasudeva.
2023 International Conference for Advancement in Technology, ICONAT 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference for Advancement in Technology, ICONAT 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Application of Real-time Automatic Cartoon Style Generation from Live video

AU - Harshitha, G. M.

AU - Ramyashree, null

AU - Vasudeva,

PY - 2023

Y1 - 2023

N2 - Converting live video to cartoons is a favorable technology. The main objective of the project is to transform live videos into animated or cartoon videos. The prior transformation approach needs sophisticated computer abilities and graphics. The idea of the project is to convert videos into an art form such as painting. There are various methods for turning real-world photos and videos into cartoons, but among all of them, the application of a Generative Adversarial Network (GAN) dubbed Cartoon GAN will be employed for style. Using real-world live footage being captured by a camera, high-quality cartoonized live video was produced with the aid of GAN.

AB - Converting live video to cartoons is a favorable technology. The main objective of the project is to transform live videos into animated or cartoon videos. The prior transformation approach needs sophisticated computer abilities and graphics. The idea of the project is to convert videos into an art form such as painting. There are various methods for turning real-world photos and videos into cartoons, but among all of them, the application of a Generative Adversarial Network (GAN) dubbed Cartoon GAN will be employed for style. Using real-world live footage being captured by a camera, high-quality cartoonized live video was produced with the aid of GAN.

UR - https://www.scopus.com/pages/publications/85153228237

UR - https://www.scopus.com/pages/publications/85153228237#tab=citedBy

U2 - 10.1109/ICONAT57137.2023.10080457

DO - 10.1109/ICONAT57137.2023.10080457

M3 - Conference contribution

AN - SCOPUS:85153228237

T3 - 2023 International Conference for Advancement in Technology, ICONAT 2023

BT - 2023 International Conference for Advancement in Technology, ICONAT 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd International Conference for Advancement in Technology, ICONAT 2023

Y2 - 24 January 2023 through 26 January 2023

ER -

Application of Real-time Automatic Cartoon Style Generation from Live video

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this