NDLI: A low complex scalable spatial adjacency ACC-DCT based video compression method

Content Provider	IEEE Xplore Digital Library
Author	Suresh, G. Epsiba, P. Rajaram, M. Sivanandam, S.N.
Copyright Year	2010
Description	Author affiliation: CAHCET, Vellore, India (Suresh, G.) \|\| Department of ECE, CAHCET, Vellore, India (Epsiba, P.) \|\| Department of EEE, GCE, Thirunelveli, India (Rajaram, M.) \|\| Department of CSE, PSG Tech, Coimbatore, India (Sivanandam, S.N.)
Abstract	In this paper, we propose a low complex Scalable ACC-DCT based video compression approach which tends to hard exploit the pertinent temporal redundancy in the video frames to improve compression efficiency with less processing complexity. Generally, video signal has high temporal redundancies due to the high correlation between successive frames. Actually, this redundancy has not been exposed enough by current video compression techniques. Our model consists on 3D to 2D transformation of the video frames that allows exploring the temporal redundancy of the video using 2D transforms and avoiding the computationally demanding motion compensation step. This transformation turns the spatial temporal correlation of the video into high spatial correlation. Indeed, this technique transforms each group of pictures (GOP) to one picture (Accordion Representation) eventually with high spatial correlation. This model is also incorporated with up/down sampling method (SVC) which is based on a combination of the forward and backward type discrete cosine transform (DCT) coefficients. As this kernel has various symmetries for efficient computation, a fast algorithm of DCT-based Scalability concept is also proposed. For further improvement of the scalable performance, an adaptive filtering method is introduced, which applies different weighting parameters to DCT coefficients. Thus, the decorrelation of the resulting pictures by the DCT makes efficient energy compaction, and therefore produces a high video compression ratio. Many experimental tests had been conducted to prove the method efficiency especially in high bit rate and with slow motion video. The proposed method seems to be well suitable for video surveillance applications and for embedded video compression systems.
Starting Page	1
Ending Page	6
File Size	618400
Page Count	6
File Format	PDF
ISBN	9781424465910
e-ISBN	9781424465927
DOI	10.1109/ICCCNT.2010.5591628
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-29
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	SVC (Scalable Video Coding) Correlation Redundancy Group of Pictures (GOP) ACC-DCT Video compression Three dimensional displays Encoding Discrete cosine transforms Pixel Spatial and Temporal Correlation
Content Type	Text
Resource Type	Article

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