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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)

Current Result Document : 8 / 662 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) ±ºÁý ±â¹Ý ÇϿ콺µµ¸£ÇÁ °Å¸®¸¦ ÀÌ¿ëÇÑ »ö»ó ÆÈ·¹Æ® ºñ±³
¿µ¹®Á¦¸ñ(English Title) Color Palettes Comparison Using Cluster-based Hausdorff Distance
ÀúÀÚ(Author) ±è¼öÁö   ÃÖ¼ºÈñ   Suzi Kim   Sunghee Choi  
¿ø¹®¼ö·Ïó(Citation) VOL 27 NO. 10 PP. 0492 ~ 0496 (2021. 10)
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(Korean Abstract)
»ö»óÀº À̹ÌÁö¿¡¼­ Àΰ£ÀÇ À̹ÌÁö ÀνĿ¡ °¡Àå Å« ¿µÇâÀ» ¹ÌÄ¡¸ç, ´«°ú ³ú¿¡ °¡Àå ¸ÕÀú ÀÎÁöµÇ´Â ½Ã°¢ ¿ä¼ÒÀÌ´Ù. »ö»ó ÆÈ·¹Æ®´Â ÇÑÁ¤µÈ ¼öÀÇ »ö»óÀ» ¼±ÅÃÇØ ¹è¿­ÇسõÀº ÇüÅ·ΠÆмÇ, µðÀÚÀÎ, °ÇÃà, ¹Ìµð¾î, ¹Ì¼ú µîÀÇ ´Ù¾çÇÑ ½Ã°¢ ºÐ¾ß¿¡¼­ »ç¿ëµÇ´Â ±âº» ´ÜÀ§ÀÌ´Ù. »ö»ó ÆÈ·¹Æ® À¯»çµµ ÃøÁ¤¿¡ »ç¿ëµÅ¿À´ø ±âÁ¸ÀÇ ÁýÇÕ ¶Ç´Â ½ÃÄö½ºÀÇ À¯»çµµ ÃøÁ¤¹ýÀº ¿ä¼ÒÀÇ ¼ö°¡ »ó´ëÀûÀ¸·Î Àû°í, »ö»ó °£ÀÇ °ü°è°¡ ¸ðµÎ µ¿µîÇÏ°Ô ÀÎÁöµÇÁö ¾Ê´Â´Ù´Â »ö»ó ÆÈ·¹Æ® °íÀ¯ÀÇ Æ¯¼ºÀ» °í·ÁÇÏÁö ¾Ê¾Æ ¾ÈÁ¤ÀûÀÎ ÃøÁ¤°ªÀ» µµÃâÇÏÁö ¸øÇÏ´Â ¹®Á¦°¡ ÀÖ´Ù. º» ¿¬±¸¿¡¼­´Â »ö»ó ÆÈ·¹Æ®ÀÇ È¿°úÀûÀÎ ºñ±³¸¦ À§ÇÑ ±ºÁý ±â¹Ý ÇϿ콺µµ¸£ÇÁ °Å¸® ÃøÁ¤¹ýÀ» ¼Ò°³ÇÑ´Ù. º» ¿¬±¸¿¡¼­ Á¦¾ÈÇÏ´Â ±ºÁý ±â¹Ý ÇϿ콺µµ¸£ÇÁ °Å¸®¸¦ ÀÌ¿ëÇÑ »ö»ó ÆÈ·¹Æ® ºñ±³¹ýÀº ±âÁ¸ÀÇ ´Ü¼øÇÑ »ö»ó ÆÈ·¹Æ® ºñ±³¹ýº¸´Ù Àü¹ÝÀûÀÎ »ö»óÀÇ ±¸¼ºÀ» ºñ±³Çϰųª ºÎºÐÀûÀ¸·Î °­ÇÑ »ö»ó ¸ÅĪÀ» ¹Ý¿µÇÑ À¯»çµµ ºñ±³¸¦ °¡´ÉÇÏ°Ô ÇÑ´Ù. º» ¿¬±¸¿¡¼­ Á¦¾ÈÇÏ´Â À¯»çµµ ºñ±³´Â À̹ÌÁöÀÇ Á¡ÁøÀû ·Îµù °úÁ¤¿¡¼­ Àü¹ÝÀûÀÎ »ö»óÀÇ ±¸¼ºÀ» ºñ±³ÇØ¾ß ÇÏ´Â »ö»ó ÆÈ·¹Æ® ±â¹ÝÀÇ À̹ÌÁö °Ë»ö ¼­ºñ½º¿¡¼­ ³ôÀº È°¿ëµµ°¡ ±â´ëµÈ´Ù.
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(English Abstract)
Color is the primary visual element that is first observed in an image and has the most effect on human¡¯s image recognition. A color palette is arranged by selecting a certain number of colors, and it is a fundamental unit used in various visual fields such as fashion, design, architecture, media, and art. Palette similarity is commonly measured using set-based and sequence-based approaches. However, they cannot provide consistent measurements since they ignore the specific properties of the color palette, such as the small number of components and the fact that not all color associations are equally recognized. In this study, we introduce a cluster-based Hausdorff distance measurement for an effective comparison of color palettes. Compared to the conventional color palette comparison, the cluster-based Hausdorff distance enables the similarity measurement by reflecting the overall color composition of the palettes and partial color matching between a pair of palettes. The proposed similarity comparison is expected to be widely employed in the color palette-based image retrieval services that require comparison between the overall color composition of images during progressive loading.
Å°¿öµå(Keyword) »ö»ó ÆÈ·¹Æ®   »ö»ó ½ºÅ°¸¶   ÆÈ·¹Æ® ºñ±³   ÇϿ콺µµ¸£ÇÁ °Å¸®   »ö»ó ¸ÅĪ   color palette   color scheme   palette comparison   Hausdorff distance   color matching  
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