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JPEG2000-Based Scalable Interactive Video (JSIV)

机译:基于JPEG2000的可伸缩交互式视频(JSIV)

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We propose a novel paradigm for interactive video streaming and we coin the term JPEG2000-based scalable interactive video (JSIV) for it. JSIV utilizes JPEG2000 to independently compress the original video sequence frames and provide for quality and spatial resolution scalability. To exploit interframe redundancy, JSIV utilizes prediction and conditional replenishment of code-blocks aided by a server policy that optimally selects the number of quality layer for each code-block transmitted and a client policy that makes most of the received (distorted) frames. It is also possible for JSIV to employ motion compensation; however, we leave this topic to future work. To optimally solve the server transmission problem, a Lagrangian-style rate-distortion optimization procedure is employed. In JSIV, a wide variety of frame prediction arrangements can be employed including hierarchical B-frames of the scalable video coding (SVC) extension of the H.264/AVC standard. JSIV provides considerably better interactivity compared to existing schemes and can adapt immediately to interactive changes in client interests, such as forward or backward playback and zooming into individual frames. Experimental results for surveillance footage, which does not suffer from the absence of motion compensation, show that JSIV's performance is comparable to that of SVC in some usage scenarios while JSIV performs better in others.
机译:我们提出了一种用于交互式视频流的新颖范例,并为此创造了基于JPEG2000的术语可伸缩交互式视频(JSIV)。 JSIV利用JPEG2000独立压缩原始视频序列帧,并提供质量和空间分辨率可伸缩性。为了利用帧间冗余,JSIV利用对服务器进行策略优化的代码块的预测和有条件的补充,该服务器策略为每个传输的代码块最佳地选择了质量层的数量,并采用了客户端策略,该策略使大多数接收到的(失真的)帧成为可能。 JSIV也可以采用运动补偿。但是,我们将这个话题留给以后的工作。为了最佳地解决服务器传输问题,采用了拉格朗日式率失真优化程序。在JSIV中,可以采用多种帧预测安排,包括H.264 / AVC标准的可伸缩视频编码(SVC)扩展的分层B帧。与现有方案相比,JSIV提供了更好的交互性,并且可以立即适应客户兴趣的交互变化,例如向前或向后回放以及放大单个帧。监视镜头的实验结果表明,在某些使用情况下,JSIV的性能可与SVC媲美,而在其他情况下,JSIV的性能则可与SVC媲美。

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