A Study on Motion Prediction and Coding for In-Band Motion Compensated Temporal Filtering

نویسندگان

  • Dongdong Zhang
  • Wenjun Zhang
  • Li Song
  • Hongkai Xiong
چکیده

Compared with spatial domain motion compensated temporal filtering (MCTF) scheme, in-band MCTF scheme needs more coding bits for motion information since the motion estimation (ME) and motion compensation (MC) are implemented on each spatial subband. Therefore, how to employ motion prediction and coding is a key problem to improve the coding efficiency of in-band MCTF. In this paper, we proposed an efficient level-by-level modebased motion prediction and coding scheme for in-band MCTF. In our scheme, three motion prediction and coding modes are introduced to exploit the subband motion correlation at different resolution as well as the spatial motion correlation in the high frequency subband. To tradeoff the complexity and the accuracy of block-based motion search, a jointly rate-distortion criterion is proposed to decide a set of optimized motion vector for three spatial high frequency subbands at the same level. By the rate-distortion optimized mode selection engine, the proposed scheme can improve the coding efficiency about 0.6db for 4CIF sequence.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Fully-scalable wavelet video coding using in-band motion compensated temporal filtering

This paper presents a novel fully-scalable wavelet video coding scheme that performs efficient open-loop motion compensated temporal filtering (MCTF) in the wavelet domain (in-band). Unlike the conventional spatial-domain MCTF (SDMCTF) schemes, which apply MCTF on the original image data and then encode the residual image using a critically-sampled wavelet transform, the framework presented her...

متن کامل

In-band motion compensated temporal filtering

A novel framework for fully scalable video coding that performs open-loop motion-compensated temporal filtering (MCTF) in the wavelet domain (in-band) is presented in this paper. Unlike the conventional spatial-domain MCTF (SDMCTF) schemes, which apply MCTF on the original image data and then encode the residuals using the critically sampled discrete wavelet transform (DWT), the proposed framew...

متن کامل

Reduced complexity spatio-temporal scalable motion compensated wavelet video encoding

Motion compensated wavelet (MC-Wavelet) video coding provides high coding efficiency and robustness along with spatio-temporal-SNR-complexity scalability. Such schemes use a multi-resolution motion compensated temporal filtering (MCTF) decomposition along with the spatial wavelet transform to remove video redundancy. These multi-resolution transforms partition the spatiotemporal sequence-volume...

متن کامل

Optimized Prediction of Uncovered Areas in Subband Video Coding

Motion-compensated temporal filtering is an essential ingredient of recently developed wavelet-based scalable video coding schemes. Lifting implementation of these decompositions represents a versatile tool for spatio-temporal optimizations and numerous improvements have thus been proposed. In this paper, we propose an optimized prediction scheme built on a 5/3 motion-compensated filterbank but...

متن کامل

3D video coding using redundant-wavelet multihypothesis and motion-compensated temporal filtering

A video coder is presented that combines mesh-based motion-compensated temporal filtering, phase-diversity multihypothesis motion compensation, and an embedded 3D wavelet-coefficient coder. The key contribution of this work is the introduction of the phasediversity multihypothesis paradigm into motion-compensated temporal filtering, which is achieved by deploying temporal filtering in the domai...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005