کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6900795 1446491 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparative Study of Semantic Mapping of Images
ترجمه فارسی عنوان
بررسی مقایسه ای از نقشه برداری معنایی تصاویر
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
Semantic mapping is typically used to find deep connections between different words or text documents. The purpose of this study is to extend the semantic mapping method to images. For this purpose, the publicly available affective image database was used. Five methods of semantic map construction were compared, including the methods based on (a) human ranking, (b) fMRI data, (c) metadata, (d) predominant colors found in images, and (e) analysis of verbal description of images. The compatibility of outcomes was evaluated using traditional and canonical correlation. Overall, results obtained using different methods appear to be compatible with each other, except that the correlation of the predominant color and semantic measures was found not significant. Comparative strengths and weaknesses of these approaches are discussed. The obtained semantic map provides an insight into the interpretation of brain activity recorded via fMRI, and will be useful for building and validating models of human emotional cognition.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 123, 2018, Pages 47-56
نویسندگان
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