A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Object-Based and Event-Based Semantic Video Adaptation
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
The MPEG-4 fine-grained scalable video coding method for multimediastreaming over IP
IEEE Transactions on Multimedia
Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
Rate-distortion optimal bit allocation for object-based video coding
IEEE Transactions on Circuits and Systems for Video Technology
Hybrid layered video encoding and caching for resource constrained environments
Journal of Visual Communication and Image Representation
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The MPEG-4 Fine Grained Scalability (FGS) profile aims at scalable video encoding, in order to ensure efficient video streaming in networks with fluctuating bandwidth. In order to allow very low bit rate streaming, the Base Layer of an FGS video is encoded at a very low bit rate, resulting in very low video quality. In this paper, we propose FGS-MR, which uses content aware multi-resolution video frames to obtain better video quality for a target bit rate, compared to existing MPEG-4 FGS Base Layer video encoding schemes. FGS-MR is an integrated approach that requires only encoder side modification, and is transparent to the decoder. In addition, FGS-MR can be used with any existing MPEG-4 codec which supports FGS, since it entails "smart" video preprocessing and does not involve any components from the MPEG-4 compression pipeline. FGS-MR is a mask based technique. We have demonstrated an unsupervised algorithm to automatically create the mask from a given video sequence.