JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Optimal bit allocation under multiple rate constraints
DCC '96 Proceedings of the Conference on Data Compression
Effective Gaussian Mixture Learning for Video Background Subtraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
EURASIP Journal on Advances in Signal Processing
Low-complexity video coding for receiver-driven layered multicast
IEEE Journal on Selected Areas in Communications
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
MPEG video streaming with VCR-functionality
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Semantic video analysis for adaptive content delivery and automatic description
IEEE Transactions on Circuits and Systems for Video Technology
Compression-aware digital pan/tilt/zoom
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Parity bit replenishment for JPEG 2000-based video streaming
Journal on Image and Video Processing - Special issue on distributed video coding
Lossy-to-lossless 3D image coding through prior coefficient lookup tables
Information Sciences: an International Journal
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In video surveillance applications, pre-stored images are likely to be accessed remotely and interactively upon user request. In such a context, the JPEG 2000. still image compression format is attractive because it supports flexible and progressive access to each individual image of the pre-stored content, in terms of spatial location, quality level, as well as resolution. However, when the client wants to play consecutive frames of the video sequence, the purely INTRA nature of JPEG 2000 dramatically penalizes the transmission efficiency. To mitigate this drawback, conditional replenishment mechanisms are envisioned. They convey arbitrary spatio-temporal segments of the initial video sequence directly through sporadic and rate-distortion (RD) optimized refresh of JPEG 2000 packets. Hence, they preserve JPEG 2000 compliance, while saving transmission resources. The replenishment algorithms proposed in this paper are original in two main aspects. First, they exploit the specificities of the JPEG 2000 codestream structure to balance the accuracy (in terms of bit-planes) of the replenishment across image subbands in a (RD)-optimal way. Second, they take into account the still background nature of video surveillance content by maintaining two reference images at the receiver. One reference is the last reconstructed frame, as proposed in the original replenishment framework. The other is a dynamically computed estimate of the scene background, which helps to recover the background after a moving object has left the scene. As an additional contribution, we demonstrate that the embedded nature of the JPEG 2000 codestream easily supports prioritization of semantically relevant regions of interest while browsing video content. An interesting aspect of this JPEG 2000-based prioritization is that it can be regulated a posteriori, after the codestream generation, based on the interest expressed by the user at browsing time. Simulation results demonstrate the efficiency and flexibility of the approach compared to INTER-based solutions.