Search (10 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Inhaltsanalyse"
  1. Raieli, R.: ¬The semantic hole : enthusiasm and caution around multimedia information retrieval (2012) 0.01
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    Date
    22. 1.2012 13:02:10
    Source
    Knowledge organization. 39(2012) no.1, S.13-22
  2. Chen, S.-J.; Lee, H.-L.: Art images and mental associations : a preliminary exploration (2014) 0.01
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    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  3. Caldera-Serrano, J.: Thematic description of audio-visual information on television (2010) 0.01
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    Date
    12. 3.2001 11:34:20
    29. 8.2010 12:40:35
  4. Hjoerland, B.: Subject (of documents) (2016) 0.00
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    Date
    24.10.2016 12:06:56
    24.10.2016 12:28:44
  5. Nahotko, M.: Genre groups in knowledge organization (2016) 0.00
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    Date
    18. 3.2019 12:55:14
  6. Diao, J.: Conceptualizations of catalogers' judgment through content analysis : a preliminary investigation (2018) 0.00
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    Date
    19. 3.2019 12:08:23
  7. Yoon, J.W.: Utilizing quantitative users' reactions to represent affective meanings of an image (2010) 0.00
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    Abstract
    Emotional meaning is critical for users to retrieve relevant images. However, because emotional meanings are subject to the individual viewer's interpretation, they are considered difficult to implement when designing image retrieval systems. With the intent of making an image's emotional messages more readily accessible, this study aims to test a new approach designed to enhance the accessibility of emotional meanings during the image search process. This approach utilizes image searchers' emotional reactions, which are quantitatively measured. Broadly used quantitative measurements for emotional reactions, Semantic Differential (SD) and Self-Assessment Manikin (SAM), were selected as tools for gathering users' reactions. Emotional representations obtained from these two tools were compared with three image perception tasks: searching, describing, and sorting. A survey questionnaire with a set of 12 images was administered to 58 participants, which were tagged with basic emotions. Results demonstrated that the SAM represents basic emotions on 2-dimensional plots (pleasure and arousal dimensions), and this representation consistently corresponded to the three image perception tasks. This study provided experimental evidence that quantitative users' reactions can be a useful complementary element of current image retrieval/indexing systems. Integrating users' reactions obtained from the SAM into image browsing systems would reduce the efforts of human indexers as well as improve the effectiveness of image retrieval systems.
  8. Arastoopoor, S.; Fattahi, R.: Users' perception of aboutness and ofness in images : an approach to subject indexing based on Ervin Panofsky's theory and users'' view (2012) 0.00
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    Date
    2. 6.2013 21:12:27
  9. Konkova, E.; MacFarlane, A.; Göker, A.: Analysing creative image search information needs (2016) 0.00
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    Date
    12. 3.2016 13:50:26
  10. Hauser, E.; Tennis, J.T.: Episemantics: aboutness as aroundness (2019) 0.00
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    Date
    12. 1.2020 17:38:53