Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model
Product Kansei image design is one of the research hotspot of product emotional design. Due to the subjectivity, low efficiency, and low level of intelligence in the existing product form innovation design methods in the mining of design goals. This study combines the semantic dictionary of Tongyici...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2022/3796734 |
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| _version_ | 1849397724581986304 |
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| author | Qinwei Zhang Zhifeng Liu Xinxin Zhang Chunyang Mu Shuo Lv |
| author_facet | Qinwei Zhang Zhifeng Liu Xinxin Zhang Chunyang Mu Shuo Lv |
| author_sort | Qinwei Zhang |
| collection | DOAJ |
| description | Product Kansei image design is one of the research hotspot of product emotional design. Due to the subjectivity, low efficiency, and low level of intelligence in the existing product form innovation design methods in the mining of design goals. This study combines the semantic dictionary of Tongyici Cilin with Kansei engineering theory and uses clustering analysis algorithm, semantic difference method, and word similarity calculation method to realize product Kansei image design. Tongyici Cilin is a computable Chinese semantic dictionary. In this study, we innovatively introduced Tongyici Cilin into the image word similarity calculation in product image design. First, the product image design process based on Tongyici Cilin is proposed. Then, we establish a model of image word similarity calculation using the common distance, difference distance, common adjustment parameter, and differential adjustment parameter. By comparing with international standard data, it is confirmed that the image word similarity calculation model proposed in this article is effective and efficient. Using the sedan image design of middle-aged, middle-income men as an example, the sedan form style of each target image was successfully derived from the Internet-based questionnaire. Based on the case studies, we determined that it is effective to use the Tongyici Cilin semantic dictionary to determine the target image and improve the efficiency of product image design. |
| format | Article |
| id | doaj-art-a83b215a1d8a4f7ebec5dc59067e45d9 |
| institution | Kabale University |
| issn | 1687-9139 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Mathematical Physics |
| spelling | doaj-art-a83b215a1d8a4f7ebec5dc59067e45d92025-08-20T03:38:54ZengWileyAdvances in Mathematical Physics1687-91392022-01-01202210.1155/2022/3796734Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity ModelQinwei Zhang0Zhifeng Liu1Xinxin Zhang2Chunyang Mu3Shuo Lv4School of Mechanical EngineeringSchool of Mechanical EngineeringSchool of Architecture and Art DesignCollege of Mechatronic EngineeringCollege of Mechatronic EngineeringProduct Kansei image design is one of the research hotspot of product emotional design. Due to the subjectivity, low efficiency, and low level of intelligence in the existing product form innovation design methods in the mining of design goals. This study combines the semantic dictionary of Tongyici Cilin with Kansei engineering theory and uses clustering analysis algorithm, semantic difference method, and word similarity calculation method to realize product Kansei image design. Tongyici Cilin is a computable Chinese semantic dictionary. In this study, we innovatively introduced Tongyici Cilin into the image word similarity calculation in product image design. First, the product image design process based on Tongyici Cilin is proposed. Then, we establish a model of image word similarity calculation using the common distance, difference distance, common adjustment parameter, and differential adjustment parameter. By comparing with international standard data, it is confirmed that the image word similarity calculation model proposed in this article is effective and efficient. Using the sedan image design of middle-aged, middle-income men as an example, the sedan form style of each target image was successfully derived from the Internet-based questionnaire. Based on the case studies, we determined that it is effective to use the Tongyici Cilin semantic dictionary to determine the target image and improve the efficiency of product image design.http://dx.doi.org/10.1155/2022/3796734 |
| spellingShingle | Qinwei Zhang Zhifeng Liu Xinxin Zhang Chunyang Mu Shuo Lv Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model Advances in Mathematical Physics |
| title | Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model |
| title_full | Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model |
| title_fullStr | Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model |
| title_full_unstemmed | Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model |
| title_short | Target Mining and Recognition of Product Form Innovation Design Based on Image Word Similarity Model |
| title_sort | target mining and recognition of product form innovation design based on image word similarity model |
| url | http://dx.doi.org/10.1155/2022/3796734 |
| work_keys_str_mv | AT qinweizhang targetminingandrecognitionofproductforminnovationdesignbasedonimagewordsimilaritymodel AT zhifengliu targetminingandrecognitionofproductforminnovationdesignbasedonimagewordsimilaritymodel AT xinxinzhang targetminingandrecognitionofproductforminnovationdesignbasedonimagewordsimilaritymodel AT chunyangmu targetminingandrecognitionofproductforminnovationdesignbasedonimagewordsimilaritymodel AT shuolv targetminingandrecognitionofproductforminnovationdesignbasedonimagewordsimilaritymodel |