Ç¥ÁØÈ­ Âü¿©¾È³»

TTAÀÇ Ç¥ÁØÇöȲ

Ȩ > Ç¥ÁØÈ­ °³¿ä > TTAÀÇ Ç¥ÁØÇöȲ

Ç¥ÁعøÈ£ TTAK.KO-11.0261 ±¸Ç¥ÁعøÈ£
Á¦°³Á¤ÀÏ 2019-12-11 ÃÑÆäÀÌÁö 24
ÇѱÛÇ¥ÁØ¸í ¿µ»ó ÀÌÇظ¦ À§ÇÑ ¿µ»ó ±¸¹® °ËÃâ ¼ÒÇÁÆ®¿þ¾î Ç°ÁúÆò°¡ Áöħ
¿µ¹®Ç¥Áظí Guidelines for Evaluation of Visual Phrase Detection Software for Image Understanding
Çѱ۳»¿ë¿ä¾à ¿µ»ó ±¸¹®(Visual Phrase)Àº, ¿µ»ó¼Ó¿¡¼­ ÀÏ°üµÈ »óÈ£ °ü°è(À¯Çü, °ø°£, Å©±â ¹× ½ÃÁ¡ °ü°è)¸¦ °®´Â µÎ °³ ÀÌ»óÀÇ ¿µ»ó °´Ã¼ÀÇ ±×·ìÀ» ÀǹÌÇÑ´Ù. ÀÌ·¯ÇÑ ¿µ»ó ±¸¹®Àº ¿µ»óÀ» ÀÌÇØÇϱâ À§ÇÑ Áß¿äÇÑ ´Ü°èÀ̸ç, ÀÌ°ÍÀ» ÀÌ¿ëÇÏ¸é ¿µ»óÀ» º¸´Ù ÀÇ¹Ì ÀÖ°Ô ±â¼ú(description)Çϰųª °ü½ÉÀÌ ÀÖ´Â ¿µ»ó °´Ã¼¸¦ º¸´Ù »¡¸® ÃßÃâÇÏ°í, ¿µ»óÀ» Çؼ®Çϴµ¥ À־ º¸´Ù Á¤È®ÇÑ °á°ú¸¦ ¾òÀ» ¼ö ÀÖ´Ù.

¿µ»ó ±¸¹® °ËÃâ ±â¼úÀº, ¿À·£ ½Ã°£¿¡ °ÉÃÄ ¸¹Àº ¿¬±¸°¡ ÁøÇàÀÌ µÇ¾î ¿ÔÀ¸¸ç, ±× ¹æ¹ý°ú °á°úµµ ÀÀ¿ëºÐ¾ß¿¡ µû¶ó ¸Å¿ì ´Ù¾çÇÏ´Ù. ±×·¯³ª ¾ÆÁ÷ °³¹ßµÈ ±â¼úÀÌ ½ÇÁ¦ ½Ç¼¼°è¿¡ Àû¿ëÀÌ µÈ °æ¿ì´Â ±ØÈ÷ Èñ¹ÚÇѵ¥, À̴ ó¸®ÇÏ´Â ¿µ»ó µ¥ÀÌÅÍ°¡ ¿ö³« ¹æ´ëÇÏ°í À̸¦ ó¸®ÇÒ ¼ö ÀÖ´Â ±â¼ú(ÄÄÇ»ÅÍ H/W ¹× ¾Ë°í¸®Áò µîÀÇ S/W)ÀÇ ±â¼úÀû ÇÑ°è µîÀ» µé ¼ö ÀÖ´Ù.

±×·¯³ª ÃÖ±Ù¿¡ µîÀåÇÑ µö ·¯´×(Deep Learning) ±â¼úÀº, Àü¿ë H/W, ´ÙÃþ ½Å°æ¸Á ±¸Á¶¿Í ´Ù¾çÇÑ ¾Ë°í¸®ÁòÀÇ µîÀå°ú ±â¼úÀ» Àû¿ëÇÒ ¼ö ÀÖ´Â ´ë¿ë·®ÀÇ µ¥ÀÌÅÍ(big data)¸¦ È¿°úÀûÀ¸·Î È°¿ëÇÏ¿© ¿µ»ó µîÀÇ ºñÁ¤Çüµ¥ÀÌÅ͸¦ º¸´Ù ºü¸£°í È¿À²ÀûÀ¸·Î ó¸®ÇÒ ¼ö ÀÖ°Ô µÇ¾ú´Ù.

¿µ»ó ±¸¹® °ËÃâ ±â¼úÀº, ¿µ»óÀÌ Æ÷ÇÔÇÏ°í ÀÖ´Â ´Ù¾çÇÏ°í dzºÎÇÑ Á¤º¸¸¦ ÃßÃâÇÏ°í È°¿ëÇϱâ À§ÇÑ ÇÙ½É ±â¼ú·Î À̸¦ ÀÌ¿ëÇÑ ÀÚµ¿Â÷ ÁÖÇàÁß Àü¹æ °¨½Ã, ¿µ»óÀÇ ÀÚµ¿ ÁÖ¼® ´Þ±â, µ¿¿µ»óÀÇ °Ë»ö, ¼îÇÎ °ø°£¿¡¼­ÀÇ ºÎÁ¤ÇàÀ§ °ËÃâ(fraud detection) µî ´Ù¾çÇÑ ºÐ¾ß¿¡ Àû¿ëÇÒ ¼ö ÀÖ´Ù.

º» Ç¥ÁØ¿¡¼­´Â µ¿Â÷ ÁÖÇàÁß »ç°í ¹æÁö¸¦ À§ÇÑ Àü¹æ °¨½Ã¸¦ ¸ñÀûÀ¸·Î, Àü¹æ Ä«¸Þ¶ó¸¦ ÅëÇؼ­ ÀÔ·ÂµÈ ¿µ»óÀ» Çؼ®ÇÏ¿© ¿µ»ó¼Ó °´Ã¼(»ç¶÷, ÀÚÀü°Å, ¹ÙÀÌÅ©, ű º¸µå µî)¸¦ ÀνÄÇÏ°í, À̵éÀÇ °ü°è¸¦ °ËÃâÇÏ´Â ¿µ»ó ±¸¹®(Visual Phrase) °ËÃâ±â¼ú°ú ÀÌ ±â¼úÀÇ ¼º´ÉÀ» °³°üÀûÀÌ°í ü°èÀûÀ¸·Î Æò°¡Çϱâ À§ÇÑ Ç¥ÁØÈ­µÈ ½ÇÇè ¿µ»ó°ú Æò°¡ ±âÁØ ¹× ü°è¸¦ Á¦°øÇÏ´Â µ¥ ¸ñÀûÀÌ ÀÖ´Ù.
¿µ¹®³»¿ë¿ä¾à Visual phrase refers to a group of two or more image objects that have a consistent correlation (type, space, size, and viewpoint relationship) in the image. This visual phrase of image is an important step for understanding the image, and by using it, it is possible to describe the image more meaningfully, extract the object of interest more quickly, and obtain more accurate results in interpreting the image.

By introducing visual phrase detection software, which is a core technology for extracting and utilizing various rich information contained in images, we can develop many kind of applications, such as front monitoring during driving, automatic annotation of images, searching for videos, detection of fraud in a shopping space detection and so on.

In the standard, the criteria for selection of standard image classes used for the evaluation of visual phrase detection software are defined as the guideline for objectively verifying and evaluating the performance of related technologies.
±¹Á¦Ç¥ÁØ
°ü·ÃÆÄÀÏ TTAK.KO-11.0261.pdf TTAK.KO-11.0261.pdf            

ÀÌÀü
3rd Generation Partnership Project;Technical Specification Group Core Network and Terminals;Diameter based protocols to support Short Message Service (SMS) capable Mobile Management Entities (MMEs)(Release 11)
´ÙÀ½
3rd Generation Partnership Project;Technical Specification Group Core Network and Terminals;Diameter based protocols to support Short Message Service (SMS) capable Mobile Management Entities (MMEs)(Release 13)