Compression of Video Data Using Parametric Line and Natural Cubic Spline Block Level Approximation
نویسندگان
چکیده
This paper presents a method for lossy compression of digital video data by parametric line and Natural cubic spline approximation. The method estimates the variation of pixel values in the temporal dimension by taking group of pixels together as keyblocks and interpolating them in Euclidean space. Break and fit criterion is used to minimize the number of keyblocks required for encoding and decoding of approximated data. Each group of pixels at fixed spatial location is encoded/decoded independently. The proposed method can easily be incorporated in the existing video data compression techniques based on Discrete Cosine Transform or Wavelet Transform. key words: video data, approximation, compression, parametric line, natural cubic spline
منابع مشابه
Multi-scale Curvature Analysis Approach to Shape Coding Using Cubic B-splines
Efficient contour encoding is an important part of the future object-based video compression schemes, such as MPEG-4. The decomposition of video into video objects, represented by texture, shape and motion, will enable new functionality of the intelligent communication terminals. In addition to conventional compression, it will enable content-based storage and retrieval, access and manipulation...
متن کاملAPPROXIMATION OF 3D-PARAMETRIC FUNCTIONS BY BICUBIC B-SPLINE FUNCTIONS
In this paper we propose a method to approximate a parametric 3 D-function by bicubic B-spline functions
متن کاملReal-time Variable Feedrate Parametric Interpolator for Cnc Machining
In modern commercial CAD and systems, a wide variety of part shapes for dies and molds are usually represented in parametric curves (or surfaces) like the Bezier curve, B-spline, and NURBS. However, conventional CNC machines only provide line or circular interpolators. In order to perform the machining of molds, the shapes and desired tool paths designed using CAD/CAM systems are typically appr...
متن کاملUse of Two Smoothing Parameters in Penalized Spline Estimator for Bi-variate Predictor Non-parametric Regression Model
Penalized spline criteria involve the function of goodness of fit and penalty, which in the penalty function contains smoothing parameters. It serves to control the smoothness of the curve that works simultaneously with point knots and spline degree. The regression function with two predictors in the non-parametric model will have two different non-parametric regression functions. Therefore, we...
متن کاملVariational Subdivision for Natural Cubic Splines
This paper explores the intrinsic link between natural cubic splines and subdivision. Natural cubic splines are deened via the varia-tional problem of minimizing a simple approximation of bending energy. A subdivision scheme is derived which converges to the minimizer of this particular variational problem. x1. Introduction Geometric design is the study of the representation of shapes with math...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- IEICE Transactions
دوره 90-D شماره
صفحات -
تاریخ انتشار 2007