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Ȩ Ȩ > ¿¬±¸¹®Çå > ±¹³» ³í¹®Áö > Çѱ¹Á¤º¸°úÇÐȸ ³í¹®Áö > Á¤º¸°úÇÐȸ ³í¹®Áö D : µ¥ÀÌŸº£À̽º

Á¤º¸°úÇÐȸ ³í¹®Áö D : µ¥ÀÌŸº£À̽º

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) ¸ÖƼ¸ð´Þ ¹æ¹ý·Ð°ú ÅؽºÆ® ¸¶ÀÌ´× ±â¹ÝÀÇ ´º½º ºñµð¿À ¸¶ÀÌ´×
¿µ¹®Á¦¸ñ(English Title) A News Video Mining based on Multi-modal Approach and Text Mining
ÀúÀÚ(Author) ÀÌÇѼº   ÀÓ¿µÈñ   À¯ÀçÇР  ¿À½Â±Ù   ¹Ú´ëÈñ   Hansung Lee   Younghee Im   Jaehak Yu   Seunggeun Oh   Daihee Park  
¿ø¹®¼ö·Ïó(Citation) VOL 37 NO. 03 PP. 0127 ~ 0136 (2010. 06)
Çѱ۳»¿ë
(Korean Abstract)
Á¤º¸・Åë½Å±â¼úÀÌ ¹ßÀüÇÔ¿¡ µû¶ó ¸ÖƼ¹Ìµð¾î µ¥ÀÌÅ͸¦ Æ÷ÇÔÇÏ´Â µðÁöÅÐ ±â·Ï¹°ÀÇ ¾çÀº ±âÇϱ޼öÀûÀ¸·Î Áõ°¡ÇÏ°í ÀÖ´Ù. ƯÈ÷ ´º½º ºñµð¿À´Â ½Ã´ë»óÀ» ¹Ý¿µÇϴ dzºÎÇÑ Á¤º¸¸¦ ³»Æ÷ÇÏ°í ÀÖÀ¸¹Ç·Î, À̸¦ È¿°úÀûÀ¸·Î °ü¸®ÇÏ°í ºÐ¼®Çϱâ À§ÇÑ ´º½º ºñµð¿À µ¥ÀÌÅͺ£À̽º ¹× ´º½º ºñµð¿À ¸¶ÀÌ´×Àº ±¤¹üÀ§ÇÏ°Ô ¿¬±¸µÇ¾î¿Ô´Ù. ±×·¯³ª ÇöÀç±îÁöÀÇ ´º½º ºñµð¿À °ü·Ã ¿¬±¸µéÀº ´º½º ±â»ç¿¡ ´ëÇÑ ºê¶ó¿ì¡, °Ë»ö, ¿ä¾à¿¡ Ä¡ÁߵǾî ÀÖÀ¸¸ç, ´º½º ºñµð¿À¿¡ ³»ÀçµÇ¾î Àִ dzºÎÇÑ ÀáÀçÀû Áö½ÄÀ» Ž»çÇÏ´Â °í¼öÁØÀÇ ÀÇ¹Ì ºÐ¼® ´Ü°è¿¡´Â À̸£Áö ¸øÇÏ°í ÀÖ´Ù. º» ³í¹®¿¡¼­´Â ´º½º ºñµð¿À Ŭ¸³°ú ½ºÅ©¸³Æ®¸¦ µ¿½Ã¿¡ ÀÌ¿ëÇÏ´Â, ¸ÖƼ¸ð´Þ ¹æ¹ý·Ð°ú ÅؽºÆ® ¸¶ÀÌ´× ±â¹ÝÀÇ ´º½º ºñµð¿À ¸¶ÀÌ´× ½Ã½ºÅÛÀ» Á¦¾ÈÇÑ´Ù. Á¦¾ÈµÈ ½Ã½ºÅÛÀº ÅؽºÆ® ¸¶ÀÌ´×ÀÇ ±ºÁýºÐ¼®À» ÅëÇØ ´º½º ±â»çµéÀ» ÀÚµ¿ ºÐ·ùÇÏ°í, ºÐ·ù °á°ú¿¡ ´ëÇØ ±â°£º° ±ºÁý ÃßÀ̱׷¡ÇÁ, ±ºÁý¼ºÀåµµ ºÐ¼® ¹× ³×Æ®¿öÅ© ºÐ¼®À» ¼öÇàÇÔÀ¸·Î½á, ´º½º ºñµð¿ÀÀÇ ±â»çº° ÁÖÁ¦¿Í °ü·ÃÇÑ ´Ù°¢Àû ºÐ¼®À» ¼öÇàÇÑ´Ù. Á¦¾ÈµÈ ½Ã½ºÅÛÀÇ Å¸´ç¼º °ËÁõÀ» À§ÇÏ¿© ¡°2007³â Á¦2Â÷ ³²ºÏ Á¤»óȸ´ã¡± °ü·Ã ´º½º ºñµð¿À¸¦ ´ë»óÀ¸·Î ´º½º ºñµð¿À ºÐ¼®À» ¼öÇàÇÏ¿´´Ù.
¿µ¹®³»¿ë
(English Abstract)
With rapid growth of information and computer communication technologies, the numbers of digital documents including multimedia data have been recently exploded. In particular, news video database and news video mining have became the subject of extensive research, to develop effective and efficient tools for manipulation and analysis of news videos, because of their information richness. However, many research focus on browsing, retrieval and summarization of news videos. Up to date, it is a relatively early state to discover and to analyse the plentiful latent semantic knowledge from news videos. In this paper, we propose the news video mining system based on multi-modal approach and text mining, which uses the visual-textual information of news video clips and their scripts. The proposed system systematically constructs a taxonomy of news video stories in automatic manner with hierarchical clustering algorithm which is one of text mining methods. Then, it multilaterally analyzes the topics of news video stories by means of time-cluster trend graph, weighted cluster growth index, and network analysis. To clarify the validity of our approach, we analyzed the news videos on "The Second Summit of South and North Korea in 2007".
Å°¿öµå(Keyword) ´º½º ºñµð¿À   ºñµð¿À ¸¶ÀÌ´×   À¯»çµµ Çà·Ä   °èÃþÀû ±ºÁýÈ­   ³×Æ®¿öÅ© ºÐ¼®   news video   video mining   similarity matrix   hierarchical clustering   network analysis  
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