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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸Åë½ÅÇÐȸ Çмú´ëȸ > 2014³â Ãß°èÇмú´ëȸ

2014³â Ãß°èÇмú´ëȸ

Current Result Document : 5 / 6 ÀÌÀü°Ç ÀÌÀü°Ç   ´ÙÀ½°Ç ´ÙÀ½°Ç

ÇѱÛÁ¦¸ñ(Korean Title) HTTP ±â¹Ý µ¿Àû ÀûÀÀÇü ½ºÆ®¸®¹Ö ¿¬±¸ÀÇ ºñ±³¡¤ºÐ¼®
¿µ¹®Á¦¸ñ(English Title) Comparative Analysis of Methods to Support Dynamic Adaptive Streaming over HTTP
ÀúÀÚ(Author) ±èºÀ   ±è¹ÌÁ¤   À±ÀÏö   Feng Jin   Mijung Kim   Ilchul Yoon  
¿ø¹®¼ö·Ïó(Citation) VOL 18 NO. 02 PP. 0527 ~ 0530 (2014. 10)
Çѱ۳»¿ë
(Korean Abstract)
DASH´Â 2010³â MPEG(µ¿È­»óÀü¹®°¡±×·ì)¿¡¼­ °³¹ßµÈ ½ºÆ®¸®¹Ö ±â¼úÀ̸ç, 2011³â¿¡ ±¹Á¦Ç¥ÁØÀ¸·Î äÅõǾú´Ù. ¾ÖÇÃ, ¸¶ÀÌÅ©·Î¼ÒÇÁÆ®¿Í ¾Æµµºñ µî¿¡¼­ ¸ÖƼ¹Ìµð¾î ¼­ºñ½º¸¦ Á¦°øÇϱâ À§ÇØ ÀÀ¿ëµÇ°í Àִµ¥, ÀϹÝÀûÀ¸·Î Ŭ¶óÀ̾ðÆ®ÀÇ µ¥ÀÌÅÍ ¿äû ½Ã ³×Æ®¿öÅ©ÀÇ °¡¿ë ´ë¿ªÆøÀ» ºÐ¼®, ÀûÀýÇÑ ´ë¿ªÆøÀ» »ç¿ëÇÏ¿© ¹Ìµð¾î µ¥ÀÌÅ͸¦ Ŭ¶óÀ̾ðÆ®¿¡ Àü´ÞÇÑ´Ù. Áï, °íÇ°ÁúÀÇ ¹Ìµð¾î Àü¼Û Áß, °¡¿ë ´ë¿ªÆøÀÌ ±Þ°ÝÈ÷ Ç϶ôÇÏ´Â °æ¿ì, ÀúÇ°ÁúÀÇ µ¥ÀÌÅ͸¦ Àü¼ÛÇÏ¿©, »ç¿ëÀÚ µð¹ÙÀ̽º¿¡¼­ ²÷±è ¾øÀÌ ¹Ìµð¾î¸¦ Àç»ýÇÒ ¼ö ÀÖµµ·Ï ÇÑ´Ù. º» ³í¹®Àº DASH ±â¼ú¿¡ °üÇÑ ±âÁ¸ ¿¬±¸µéÀ» Àü¼Û ¼Óµµ¿Í ´ë¿ªÆø ÃøÁ¤¹æ½Ä, Àü¼Û¼Óµµ °áÁ¤ ¾Ë°í¸®Áò, »ç¿ëÀÚ °æÇè (QoE) Æò°¡ ¹æ¹ý¿¡ µû¶ó ºÐ·ùÇÏ°í, °¢ ¿¬±¸ÀÇ À塤´ÜÁ¡À» ºñ±³, ºÐ¼®ÇÏ¿©, °¡¿ë ´ë¿ªÆø º¯È­°¡ ½ÉÇÑ ¹«¼± ³×Æ®¿öÅ©¿¡¼­ DASH ±â¼úÀ» ±¸ÇöÇÏ´Â µ¥ À־ °í·ÁÇÏ¿©¾ß ÇÒ ¿ä¼ÒµéÀ» Á¦½ÃÇÑ´Ù.
¿µ¹®³»¿ë
(English Abstract)
DASH is a well-known streaming technology, which was proposed in 2010 by MPEG and standardized in 2011. Major multimedia contents service providers, including Apple, Microsoft, and Adobe are all using this technology to support their media streaming services. Whenever a new service is requested to the server, the DASH technology helps servicing the multimedia streaming to client by recognizing the capacity of network and by adapting the quality of the multimedia contents. In DASH, the quality of multimedia contents will be automatically lowered to meet the fluctuating network status, when undesirable breaks interrupt the network. In this paper, we classified and analysed the advantages and disadvantages of DASH researches in three aspects: bit-rate measurement method, bandwidth aggregation method; rate adaptation metrics, algorithms and logics; user¡¯s experiences and QoE.
Å°¿öµå(Keyword) DASH   Àü¼Û ¼Óµµ   ´ë¿ªÆø ÃøÁ¤¹æ½Ä   ¼Óµµ °áÁ¤ ¾Ë°í¸®Áò   »ç¿ëÀÚ °æÇè  
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