Investigating Crowdsourcing as a Method to Collect Emotion Labels for Images
| Autor: | Olga Korovina, Olga Berestneva, Radoslaw Nielek, Marcos Baez, Fabio Casati |
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| Jazyk: | angličtina |
| Předmět: |
Training set
Computer science business.industry Human–computer interaction 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020207 software engineering 020201 artificial intelligence & image processing Social media 02 engineering and technology business Crowdsourcing Digital media |
| Zdroj: | Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems CHI18 Extended Abstracts CHI'18 Extended Abstracts CHI Extended Abstracts |
| DOI: | 10.1145/3170427.3188667 |
| Popis: | Labeling images is essential towards enabling the search and organization of digital media. This is true for both "factual", objective tags such as time, place and people, as well as for subjective labels, such as the emotion a picture generates. Indeed, the ability to associate emotions to images is one of the key functionality most image analysis services today strive to provide. In this paper we study how emotion labels for images can be crowdsourced and uncover limitations of the approach commonly used to gather training data today, that of harvesting images and tags from social media. |
| Databáze: | OpenAIRE |
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