کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
537853 870923 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Performance analysis of inter-layer prediction in scalable extension of HEVC (SHVC) for adaptive media service
ترجمه فارسی عنوان
تجزیه و تحلیل عملکرد از پیش بینی درون لایه در گسترش مقیاس پذیر از HEVC (SHVC) برای خدمات رسانه ای تطبیقی
کلمات کلیدی
چندرسانه ای تطبیقی؛ SHVC؛ پیش بینی درون لایه؛ برنامه نویسی ویدیوئی مقیاس پذیر. تجزیه و تحلیل عملکرد؛ لایه افزایش
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر سخت افزارها و معماری
چکیده انگلیسی


• Field: performance of inter-layer prediction techniques for supporting adaptive video service.
• Core Algorithm: we have analyzed the related algorithms and methods in SHVC as the recent video standard technology.
• Applications: media adaptation service according to display sizes, network bandwidth, and capacity of user’s devices.

Scalable video coding (SVC) has been a popular research topic to provide an adaptive media service for many years. To deliver very high quality content such as ultra high definition (UHD) video in various environment, a scalable extension of high efficiency video coding (SHVC) has been developed by the Joint Collaborative Team on Video Coding (JCT-VC) of ISO/IEC MPEG and ITU-T VCEG. This paper introduces the SHVC standard technology and analyzes the performance of inter-layer prediction as an important feature. Unlike the previous scalable video coding technologies, the SHVC standard employs a multi-loop decoding structure. Also, inter-layer prediction scheme is used to remove the redundancy between layers when encoding enhancement layer syntax elements, such as motion parameters and the intra prediction mode. This paper reviews inter-layer prediction techniques that have been developed for the SHVC standard. The performance of inter-layer prediction techniques is verified and analyzed using the SHVC reference software 5.0.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Displays - Volume 44, September 2016, Pages 27–36
نویسندگان
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