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6.2.3. 獨特度與重複度

根據本研究使用的商標資料分析出來的商標獨特度與重複度的關係如圖 6-7，其 中 x 軸表示重複度指標，橘色的線條表示該重複度商標的平均獨特度，綠色直方圖則表 示該重複度指標商標於資料庫所佔的比例，由圖中可看到隨著重複度增加，獨特度呈現 下降之後不再變化的趨勢，重複度超過指標 10 之後由於數量比例太稀少較不具有參考 性質，也就是說在此重複度與獨特度的關係似乎沒有太大的相關性，然而 Henderson 的 研究指出重複度與辨識度具有一定的相關，造成這種差異的原因可能是因為對於重複度 而言與商標佈局較沒有直接關係，若要針對重複度與辨識度的相關分析上可能需要考慮 其他種相關於辨識度的分析方法上。

圖 6-7 商標獨特度與重複度的關係圖，其中綠色直方圖表示該重複度所佔有的數量比例，

橘色線條則說明該重複度商標所分析出來的獨特度指標

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7. 結論與未來方向

本研究定義並實作了三種視覺元素應用在商標設計準則上的分析方法包含和諧度、

精細度、重複度。利用本研究建置的商標資料庫進行分析後發現大多數的商標皆是屬於 低複雜度以及高平衡度，在重複度上則通常不高，然而不管是哪一個指標皆存在著特例 的存在。

在平衡度而言，本研究發現提出的 8 項平衡指標對於人類視覺感受的比重應是不 同的，於分析資料可發現人類在設計上與其他類對稱比較下，可能會更注重於左右對稱，

於複雜度分析上來說，商標設計可能會有兩大類型的設計，一為極簡風、另一則為稍微 複雜的設計，在重複度上現今商標設計上，似乎較少使用重複的元件做為設計的風格，

然而也是存在一些使用完全相同的元件來組合成商標。

最後本研究提出利用商標佈局獨特度驗證三個指標與辨識率的相關性，其中和諧 度與精細度與過去學者的研究存在類似的結果，然而在重複度上關係則較不明確。

本研究後續將會試著找出其他商標設計元素來增加對商標的了解，並試著設計出 更多的電腦視覺分析方法結合現存的分析做為評估商標的依據，此外商標設計是每天都 會有新的設計出現的，擴充商標資料庫以找到更精準的分析結果也是必要的工作之一。

商標背後的含意對於一個好的商標設計也是非常重要的，要如何利用資訊科學領域的方 法來分析商標的含意以增進商標分析的可用性也是後續研究要持續努力的目標。

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