3,453 research outputs found
Low complexity video compression using moving edge detection based on DCT coefficients
In this paper, we propose a new low complexity video compression method based on detecting blocks containing moving edges us- ing only DCT coe±cients. The detection, whilst being very e±cient, also allows e±cient motion estimation by constraining the search process to moving macro-blocks only. The encoders PSNR is degraded by 2dB com- pared to H.264/AVC inter for such scenarios, whilst requiring only 5% of the execution time. The computational complexity of our approach is comparable to that of the DISCOVER codec which is the state of the art low complexity distributed video coding. The proposed method ¯nds blocks with moving edge blocks and processes only selected blocks. The approach is particularly suited to surveillance type scenarios with a static camera
A Review on Design of Low Bit Rate Video Encoding for Image Compression
In this paper, we propose a new low complexity video compression method based on detecting blocks containing moving edges using only DCT coefficients. The detection, whilst being very efficient, also allows efficient motion estimation by constraining the search process to moving macro-blocks only. It takes advantage of the prior knowledge of the image type to segment the image into different regions, then codes each region with differentcodingcriterion and method according to the different importance. An adaptive region-classified vector quantization strategy is also exploited in this algorithm. Canny method is adopted to detect the edges of the encoded image. These edges arereplaced with a pre-designed nine basis nameplates. Then,the Macro edge detection technique is used to reduce the number of these nameplates and keep only the edges that are necessary for visual quality
Life-Space Foam: a Medium for Motivational and Cognitive Dynamics
General stochastic dynamics, developed in a framework of Feynman path
integrals, have been applied to Lewinian field--theoretic psychodynamics,
resulting in the development of a new concept of life--space foam (LSF) as a
natural medium for motivational and cognitive psychodynamics. According to LSF
formalisms, the classic Lewinian life space can be macroscopically represented
as a smooth manifold with steady force-fields and behavioral paths, while at
the microscopic level it is more realistically represented as a collection of
wildly fluctuating force-fields, (loco)motion paths and local geometries (and
topologies with holes). A set of least-action principles is used to model the
smoothness of global, macro-level LSF paths, fields and geometry. To model the
corresponding local, micro-level LSF structures, an adaptive path integral is
used, defining a multi-phase and multi-path (multi-field and multi-geometry)
transition process from intention to goal-driven action. Application examples
of this new approach include (but are not limited to) information processing,
motivational fatigue, learning, memory and decision-making.Comment: 25 pages, 2 figures, elsar
Distributed video coding for wireless video sensor networks: a review of the state-of-the-art architectures
Distributed video coding (DVC) is a relatively new video coding architecture originated from two fundamental theorems namely, Slepian–Wolf and Wyner–Ziv. Recent research developments have made DVC attractive for applications in the emerging domain of wireless video sensor networks (WVSNs). This paper reviews the state-of-the-art DVC architectures with a focus on understanding their opportunities and gaps in addressing the operational requirements and application needs of WVSNs
Mode decision for the H.264/AVC video coding standard
H.264/AVC video coding standard gives us a very promising future for the
field of video broadcasting and communication because of its high coding
efficiency compared with other older video coding standards. However, high
coding efficiency also carries high computational complexity. Fast motion
estimation and fast mode decision are two very useful techniques which can
significantly reduce computational complexity.
This thesis focuses on the field of fast mode decision. The goal of this thesis is
that for very similar RD performance compared with H.264/AVC video coding
standard, we aim to find new fast mode decision techniques which can afford
significant time savings. [Continues.
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