• Title/Summary/Keyword: 미디어재생기

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The Design of Terrestrial DMB Media Processor for Multi-Channel Audio Services (멀티채널 오디오 서비스를 위한 지상파 DMB 미디어처리기 설계)

  • Kang Kyeongok;Hong Jaegeun;Seo Jeongil
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.4
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    • pp.186-193
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    • 2005
  • The Terrestrial Digital Multimedia Broadcasting (T-DMB) system supplies high quality audio comparable with VCD in 7 inch display and high quality audio comparable CD at the mobile reception environment T-DMB will launch commercial service at the middle of 2005. However the bandwidth for audio data and the number of channels are restricted to 128 kbps and 2 respectively in the current T-DMB standard because of the limitation of available bandwidth for multimedia data. This Paper Proposes a novel media processor structure for providing multi-channel audio contents oyer T-DMB system allowing backward compatibility with the legacy T-DMB receiver. Furthermore. we also Propose an adaptive receiver structure to supply optimal audio contents on various speaker configuration in T-DMB receiver. To provide multi-channel audio contents allowing backward comaptilbity with the legacy T-DMB receiver, the additional data for multi-channel audio are defined as a dependent stream of main audio stream. The OD strucure for control an additional multi-channel audio elementary stream is proposed without changing the BIFS of the legacy T-DMB system.

Video Indexing and Retrieval of MPEG Video using Motion and DCT Coefficients in Compressed Domain (움직임과 DCT 계수를 이용한 압축영역에서 MPEG 비디오의 인덱싱과 검색)

  • 박한엽;최연성;김무영;강진석;장경훈;송왕철;김장형
    • Journal of Korea Multimedia Society
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    • v.3 no.2
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    • pp.121-132
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    • 2000
  • Most of video indexing applications depend on fast and efficient archiving, browsing, retrieval techniques. A number of techniques have been approached about only pixel domain analysis until now. Those approaches brought about the costly overhead of decompressing because the most of multimedia data is typically stored in compressed format. But with a compressed video data, if we can analyze the compressed data directly. then we avoid the costly overhead such as in pixel domain. In this paper, we analyze the information of compressed video stream directly, and then extract the available features for video indexing. We have derived the technique for cut detection using these features, and the stream is divided into shots. Also we propose a new brief key frame selection technique and an efficient video indexing method using the spatial informations(DT coefficients) and also the temporal informations(motion vectors).

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