Affective Relationship between Color and Text in Arabic Comic Books

Jomaa, Hadi S.; Kamereddine, Mohamad; Nayal, Ammar; Rizk, Yara; Awad, Mariette

doi:10.1109/sitis.2016.42

2016 12th International Conference on Signal-Image Technology &Amp; Internet-Based Systems (SITIS) 2016

DOI: 10.1109/sitis.2016.42

|View full text |Cite

Affective Relationship between Color and Text in Arabic Comic Books

Hadi S. Jomaa

Mohamad Kamereddine²,

Ammar Nayal

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Decoding comics: a systematic literature review on recognition, segmentation, and classification techniques with emphasis on computer vision and non-computer vision

Rishu,

Kukreja

2024

Multimed Tools Appl

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Affective Relationship between Color and Text in Arabic Comic Books

Cited by 3 publications

References 13 publications

Decoding comics: a systematic literature review on recognition, segmentation, and classification techniques with emphasis on computer vision and non-computer vision

Decoding comics: a systematic literature review on recognition, segmentation, and classification techniques with emphasis on computer vision and non-computer vision

KerMinSVM for imbalanced datasets with a case study on arabic comics classification

Comic exploration and Insights: Recent trends in LDA-Based recognition studies

Contact Info

Product

Resources

About