loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Shuhua Liu and Thomas Forss

Affiliation: Arcada University of Applied Sciences, Finland

Keyword(s): Visual Labeling, Image Annotation, Social Media Analysis, Twitter.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Context Discovery ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining Multimedia Data ; Mining Text and Semi-Structured Data ; Pre-Processing and Post-Processing for Data Mining ; Symbolic Systems

Abstract: Visual labeling or automated visual annotation is of great importance to the efficient access and management of multimedia content. Many methods and techniques have been proposed for image annotation in the last decade and they have shown reasonable performance on standard datasets. Great progress has been made especially in recent couple of years with the development of deep learning models for image content analysis and extraction of content-based concept labels. However, concept objects labels are much more friendly to machine than to users. We consider that more relevant and user-friendly visual labels need to include “context” descriptors. In this study we explore the possibilities to leverage social media content as a resource for visual labeling. We developed a tag extraction system that applies heuristic rules and term weighting method to extract image tags from associated Tweet. The system retrieves tweet-image pairs from public Twitter accounts, analyzes the Tweet, and generates labels for the images. We elaborate on different visual labeling methods, tag analysis and tag refinement methods. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 52.15.59.163

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Liu, S. and Forss, T. (2015). Automatic Tag Extraction from Social Media for Visual Labeling. In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR; ISBN 978-989-758-158-8; ISSN 2184-3228, SciTePress, pages 504-510. DOI: 10.5220/0005638505040510

@conference{kdir15,
author={Shuhua Liu. and Thomas Forss.},
title={Automatic Tag Extraction from Social Media for Visual Labeling},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR},
year={2015},
pages={504-510},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005638505040510},
isbn={978-989-758-158-8},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2015) - KDIR
TI - Automatic Tag Extraction from Social Media for Visual Labeling
SN - 978-989-758-158-8
IS - 2184-3228
AU - Liu, S.
AU - Forss, T.
PY - 2015
SP - 504
EP - 510
DO - 10.5220/0005638505040510
PB - SciTePress