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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö A : ½Ã½ºÅÛ ¹× ÀÌ·Ð

Á¤º¸°úÇÐȸ ³í¹®Áö A : ½Ã½ºÅÛ ¹× ÀÌ·Ð

Current Result Document : 2 / 3

ÇѱÛÁ¦¸ñ(Korean Title) ¸ð¹ÙÀÏ ±â±â¿¡ ÀûÇÕÇÑ »ö»ó ±â¹Ý ¿µ»ó °Ë»ö ½Ã½ºÅÛ Çϵå¿þ¾î ¼³°è
¿µ¹®Á¦¸ñ(English Title) Hardware Design of Color-based Image Retrieval System for Mobile Devices
ÀúÀÚ(Author) ¹Ú¿ëÁø   ¹ÚÁøÈ«   ¾î¿µÁ¤   º¯Çý¶õ   ÇÑŹµ·   Yong-Jin Park   Jinhong Park   Young-Jung Uh   Hyeran Byun   Tack-Don Han  
¿ø¹®¼ö·Ïó(Citation) VOL 38 NO. 02 PP. 0087 ~ 0093 (2011. 04)
Çѱ۳»¿ë
(Korean Abstract)
Ä«¸Þ¶ó°¡ žÀçµÈ ¸ð¹ÙÀÏ ±â±âÀÇ º¸±ÞÀÌ Áõ´ëµÇ°í, »ç¿ëÀÚ°¡ ÀúÀåÇÏ´Â ¿µ»óÀÇ ¾çÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ¿µ»ó µ¥ÀÌÅÍÀÇ È¿À²ÀûÀÎ °ü¸® ¹× °Ë»öÀ» °¡´ÉÇÏ°Ô ÇÏ´Â ¿µ»ó °Ë»ö ½Ã½ºÅÛÀÇ Çʿ伺ÀÌ Áõ´ëµÇ°í ÀÖ´Ù. »ö»ó ±â¹Ý ¿µ»ó °Ë»ö ½Ã½ºÅÛÀº ¿µ»óÀ» ºÐÇÒÇÏ¿© °¢ ºÐÇÒ °ø°£ÀÇ »ö»ó¿¡ µû¶ó ¿µ»óÀÇ Æ¯Â¡À» ºÎ¿©ÇÏ°í, ´Ù¸¥ ¿µ»óÀÇ °¢ °ø°£ÀÇ »ö»ó Ư¡°úÀÇ Â÷À̸¦ ±¸ÇÏ¿© ¿µ»óÀÇ À¯»çµµ¸¦ ÆÇ´ÜÇÏ´Â ½Ã½ºÅÛÀÌ´Ù. ¸ð¹ÙÀÏ ±â±â¿¡¼­ Áö¿øÇÏ´Â ¿µ»óÀÇ Å©±â¿Í ¾çÀÌ Áõ°¡ÇÔ¿¡ µû¶ó ¿µ»ó °Ë»ö ½Ã½ºÅÛÀº ±âÁ¸ÀÇ ¸ð¹ÙÀÏ CPU¸¦ ÀÌ¿ëÇÑ ¼ÒÇÁÆ®¿þ¾î ó¸® ¹æ½ÄÀ¸·Î´Â ½Ç½Ã°£ 󸮿¡ ÇÑ°è°¡ ÀÖ´Ù. º» ³í¹®¿¡¼­´Â ¸ð¹ÙÀÏ ±â±â¿¡¼­ ½Ç½Ã°£À¸·Î »ö»ó ±â¹Ý ¿µ»ó °Ë»öÀ» ¼öÇàÇÒ ¼ö ÀÖ´Â Çϵå¿þ¾î ±¸Á¶¸¦ Á¦¾È ¹× ±¸ÇöÇÏ¿´´Ù. º» ³í¹®¿¡¼­ Á¦¾ÈÇÑ Çϵå¿þ¾î ±¸Á¶´Â ±âÁ¸ÀÇ ¸ð¹ÙÀÏ CPU¸¦ ÀÌ¿ëÇÑ ¹æ½Ä¿¡ ºñÇØ ¿µ»ó º¯È¯Àº 99%, ¿µ»ó °Ë»öÀº 99%ÀÇ ¼öÇà ½Ã°£À» ´ÜÃàÇÏ¿´´Ù.


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(English Abstract)
As the camera enabled mobile device distribution and the amount of images that users store are increased, there is an increase in the necessity of the image retrieval system which allows an efficient retrieval and management of images. The color-based retrieval system brings out a specific feature, we call as color-feature, by splitting each partition of the space depending on its color. Also, the system determines the similarity of images by calculating the differences from the color-feature from different image's spaces. As the size and quantity of images which are supported by mobile devices increase, the image retrieval system processed using existing software that uses the CPU becomes a limitation in real-time processing. Therefore, we have proposed and implemented a hardware architecture by accomplishing real-time color-based image retrieval system in our study. Compared to the previous method using mobile CPU, experimental results show that the proposed hardware architecture reduces 99% processing time of image conversion and 99% processing time of image retrieval.
Å°¿öµå(Keyword) »ö»ó ±â¹Ý ¿µ»ó °Ë»ö ½Ã½ºÅÛ   ½Ç½Ã°£ 󸮠  Çϵå¿þ¾î ¼³°è   ÆÄÀÌÇÁ¶óÀÎ ±¸Á¶   Color-based image retrieval system   real-time processing   hardware design   pipeline architecture  
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