A complete non-predictive video compression scheme based on a 3D to 2D geometric transform

Abstract

The proposed method consists on '3D-to-2D' transformation of the temporal frames that allows exploring the temporal redundancy of the video using 2D transforms and avoiding the computationally demanding motion compensation step. This transformation turns video spatial temporal correlation into high spatial correlation. In this paper, we explore the proposed method performances and try to better show what it actually offers to users. The paper presents also the extensions chosen to reduce the perceived artefacts and increase the perceptual as well as objective (PSNR) decoded video quality, which is actually competitive with state-of-the-art video coders, especially when operating complexity is taken into account.Reference to this paper should be made as follows: Ouni, T., Ayedi, W. and Abid, M. (2011) 'A complete non predictive video compression scheme based on a 3D to 2D geometric transform', Int. . His current research interests include: hardware-software co-design, system on chip, reconfigurable system, and embedded system, etc. He has also been investigating the design and implementation issues of FPGA embedded systems.

A Dataflow Description of ACC-JPEG Codec

“…We can notice that the ACC-JPEG has almost the same processing (encoding and decoding) speed than M-JPEG coder. The memory requirements can be divided into two by eliminating intermediate tables reserved for the construction of the Accordion Presentation and thus it will match the theoretical memory requirements as it was estimated in (Ouni et al, 2011). Even processing speed can also be improved and tends perfectly to the M-JPEG processing speed by adjusting the state machine which was initially designed for M-JPEG and then not perfectly adapted to the own ACC-JPEG constrains.…”

“…These frames will be scanned while reversing the direction of odd frames in order to more exploit the spatial correlation of the video cube frames extremities. This representation transforms temporal correlation of the 3D original video source into a high spatial correlation in the 2D representation ("IACC") (Ouni et al, 2009) (Ouni et al, 2010) (Ouni et al, 2011). Figure 1 illustrates the principle of this representation.…”

“…CAL is used to provide the reference software for all coding tools of the entire library. The originality of this paper is the application of the CAL and its associated tools on a new video coding model called Accordion based video coding (Ouni et al, 2009) (Ouni et al, 2010) (Ouni et al, 2011). The main advantage of this video coding model consists in its capacity of providing high compression efficiency with low complexity.…”

“…The high correlation of the IACC representation, which is actually originated from the video temporal correlation, is easy and efficiently exploited by any still image coder. It was shown in (Ouni et al, 2011) that such coder could produce a high compression ratio (close to Inter compression models such as MPEG) with low computational requirements (close to Intra compression models such as M-JPEG). Additionally, this model offers the possibility of easy reutilizing different mature image compression components for video compression purpose.…”

New context of compression problem and approach to solution: a survey of the literature

“…The new generation parametric video compression framework proposes various new motion estimation strategy such as affine based motion model [51,52,53,54,55,56,57], Multi-resolution motion estimation [58,59,60] and a tracker based motion estimation [61] to handle the complex motion like rotation and zoom and to improve the coding efficiency. A 3D-to-2D transformational approach proposed to exploit the complex spatio-temporal correlation through 2-D spatial transform [62,63]. A local restricted-affine based motion representation leads to greater flexibility and robustness in classifying the dynamic activity of the objects in any region of the video [16,64].…”