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Course Description

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Course Code
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Course Name (Chinese)
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Course Name (English)
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Credits
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Hours
3625042 ¼v¹³µø°TÀ£ÁY²z½×»P¹ê§@ Theory and implementation of image and video compression 3.0 3
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Chinese Description
¦bºô¸ô¤Wªºµø°T¶Ç¿é¶q¦û¾Ú¤F¶W¹L¤@¥bªºÁ`ÀW¼e (­ì¦]¨Ó¦Û©ó¤j¶qªº²¾°Ê¥Î¤á»Ý¨D¥H¤Î¬ÛÃöºô¸ôªA°È, ¦p Youtube)¡C¦]¦¹±Nµø°TÀ£ÁY¨ì§C¦ì¤¸²v¨Ã«O«ù¨}¦nªºµø°T«~½è«K¦¨¤F«D±`­«­nªº¤@­Ó½ÒÃD¡C¦b½Òµ{ªº³Ì«á¾Ç¥Í·|¤F¸Ñµø°TÀ£ÁYªº·§©À¤Î¹ê§@¡A¨Ã¥B¦³¾÷·|§ï¶i¼Ð·Çªºµø°TÀ£ÁY¾¹¡C ƒÜ Image format, Image quality ƒÜ Discrete Cosine Transform (DCT) ƒÜ Scalar quantization and vector quantization ƒÜ JPEG: DCT, zonal coding, threshold coding ƒÜ JPEG: Zigzag, huffman coding in JPEG ƒÜ MPEG ƒÜ H.264, H.265, H.266 ƒÜ Multi-View Coding (MVC)
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English Description
The video transmission over the network has occupied more than half of the bandwidth of the internet (by Youtube and services mobile devices for example). Therefore it is essential to compress the video to save the bandwidth and maintain good video quality. Students will understand the concept of video compression and implement to improve the video coder. Ć Image format, Image quality Ć Discrete Cosine Transform (DCT) Ć Scalar quantization and vector quantization Ć JPEG: DCT, zonal coding, threshold coding Ć JPEG: Zigzag, huffman coding in JPEG Ć MPEG Ć H.264, H.265, H.266 Ć Multi-View Coding (MVC)

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