On face detection in the compressed domain
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
A DCT-Domain Video Transcoder for Spatial Resolution Downconversion
VISUAL '02 Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems
Motion compensation on DCT domain
EURASIP Journal on Applied Signal Processing
Fast Blind Measurement of Blocking Artifacts in both Pixel and DCT Domains
Journal of Mathematical Imaging and Vision
Efficient hybrid DCT-domain algorithm for video spatial downscaling
EURASIP Journal on Advances in Signal Processing
Layered image resizing in compression domain
Image Communication
Closed-loop method to improve image PSNR in pyramidal CMAC networks
International Journal of Computer Applications in Technology
EURASIP Journal on Advances in Signal Processing
Inverse Motion Compensation for DCT Block with Unrestricted Motion Vectors
IEICE - Transactions on Information and Systems
Down-sampling design in DCT domain with arbitrary ratio for image/video transcoding
IEEE Transactions on Image Processing
Foveation embedded DCT domain video transcoding
Journal of Visual Communication and Image Representation
An integrated approach for downscaling MPEG video
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
DCT domain transcoding of H.264/AVC video into MPEG-2 video
ICVGIP'06 Proceedings of the 5th Indian conference on Computer Vision, Graphics and Image Processing
Design an e-broadcasting system for students' online learning
ICHL'09 Proceedings of the Second international conference on Hybrid Learning and Education
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Straightforward techniques for spatial domain processing of compressed video via decompression and recompression are computationally expensive. We describe an alternative approach wherein the compressed stream is processed in the compressed, discrete cosine transform (DCT) domain without explicit decompression and spatial domain processing, so that the output compressed stream, corresponding to the output image, conforms to the standard syntax of 8×8 blocks. We propose computation schemes for downsampling and for inverse motion compensation that are applicable to any DCT-based compression method. Worst case estimates of computation savings vary between 37% and 50% depending on the task. For typically sparse DCT blocks, the reduction in computations is more dramatic. A by-product of the proposed approach is improvement in arithmetic precision