DYNAMIC RATE CONTROL FOR JPEG 2000 TRANSCODING

This paper describes a rate control algorithm for a streaming video system that dynamically transcodes stored JEPG 2000 frames. The proposed algorithm is designed to improve overall quality over a static rate control method by increasing bandwidth utilization, while satisfying buffer constraints and maintaining consistent quality over time. Simulation results confirm the effectiveness of the proposed algorithm in terms of both objective measures and subjective evaluation

Surveillance System with Mega-Pixel Scalable Transcoder

This paper presents a video surveillance system that displays mega-pixel streams effectively, while traansmitting and processing the streams efficiently with limited resources such as bandwidth, computing power and display resolution. The proposed system stores high-resolution and high-quality video data and associated object metadata, which includes ROI (Region-of-Interest)information. To satisfy such resource constraints and display important parts in detail without missing the overall scene context, the stored images are efficiently transcoded in the compressed-domain based on the ROI information, display resolution and available bandwidth. Simulation results confirm the effectiveness of the proposed system in terms of objective measures and subjective evaluation

Scalable Video Streaming Based on JPEG2000 Transcoding

This paper describes a scalable video streaming system based on JPEG2000 with various modes of streaming. A core function of the proposed system is a low-complexity transcoding technique that adapts the quality and resolution of the scene based on available bandwidth. One key feature of this technique that is important for surveillance applications is that interesting regions of the scene are assigned higher quality than background regions. To cope with varying network conditions, we also present a rate control algorithm that adaptively transcodes stored JPEG2000 frames. The proposed algorithm is designed to improve overall quality over a uniform rate control method by increasing bandwidth utilization, while satisfying buffer constraints and maintaining consistent quality over time. Simulation results confirm the effectiveness of the proposed system and rate control algorithm in terms of both objective measures and subjective evaluation. Complexity is also evaluated

Scalable Video Streaming Based on JPEG2000 Transcoding with Adaptive Rate Control

This paper describes a scalable video streaming system based on JPEG2000 with various modes of streaming. A core function of the proposed system is a low-complexity transcoding technique that adapts the quality and resolution of the scene based on available bandwidth. One key feature of this technique that is important for surveillance applications is that interesting regions of the scene are assigned higher quality than background regions. To cope with varying network conditions, we also present a rate control algorithm that adaptively transcodes stored JPEG2000 frames. The proposed algorithm is designed to improve overall quality over a uniform rate control method by increasing bandwidth utilization, while satisfying buffer constraints and maintaining consistent quality over time. Simulation results confirm the effectiveness of the proposed system and rate control algorithm in terms of both objective measures and subjective evaluation. Complexity is also evaluated

Surveillance system with object-aware video transcoder

This paper presents an object-aware video surveillance system that is not only smart and friendly for users, but allows for transmission of the scene over limited bandwidth networks. The proposed system stores high-quality video data and associated object metadata, which includes ROI (Region-of-Interest) information. To satisfy bandwidth constraints and display important parts of the images fast and precisely, the stored images are efficiently transcoded in the compresseddomain based on the ROI information. At the receiver, effective display methods such as a mosaic style allow for an intuitive understanding of the important objects in the scene, as well as their movement over time

Complexity-quality analysis of transcoding architectures for reduced spatial resolution

This paper presents a detailed complexity-quality analysis of various transcoding architectures that perform spatial resolution reduction. In addition to the Reference architecture, two additional architectures are considered. The optimization of several processing components, including the down-sampling operation, is presented. We have found that the two additional architectures provide a good trade-off in terms of complexity and quality compared to the Reference