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Multi-Level Objects Based Image Vectorization with Semantic Interaction

About: This article is published in International Journal of Advancements in Computing Technology.The article was published on 2012-01-31. It has received 2 citations till now. The article focuses on the topics: Image tracing & Semantic computing.
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TL;DR: Wang et al. as discussed by the authors found that similar logos can cause lower rate of recognition, increase in the chance of consumers to misunderstand or mix up, and behavior of tort that lead to damage enterprise itself and customers.
Abstract: Under the global competition, using integrated marketing of brands to raise the economic effect has become an important edge. Not only being distinguishable from competitors, brands can also become a key point of stimulating the behavior of purchase. Therefore the design of trademark images is extraordinarily important. Similar logo can cause lower rate of recognition, increase in the chance of consumers to misunderstand or mix up, and behavior of tort that lead to damage enterprise itself and customers. So far, in the world-famous periodicals and documents, we have not found related research of logo similarity; therefore, this will be a groundbreaking research. In this research, we choose logo of Coca Cola which has kept in leading position under the evaluation of brand consultant company “Interbrand”. We produced twelve images which including the original logo that were done by mixing up Coca Cola logo. In addition, we asked forty graphic designers who have worked in related field for over two years to assist in building distribution map of logo so that we can figure the main reason of mix-up in trademark image up. Enterprises can use this result to draft a strategy that make themselves become more competitive and unique.

3 citations


Cites background from "Multi-Level Objects Based Image Vec..."

  • ...Also makes related scholars focus on image research [12,13]....

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