1994
DOI: 10.1016/0923-5965(94)90011-6
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Motion compensation and multiresolution coding

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Cited by 19 publications
(4 citation statements)
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“…However, several researchers have employed MC 3-D DWT with the spatial DWT (SDWT) preceding MC temporal discrete wavelet transform (MC TDWT). Cafforio et al [9] study the problem of compensating for motion directly in the subband domain and propose processing subbands together by means of interpolators with short impulse responses, adapted to each subband and shift value. Campisi et al [10] use a 3-D DWT consisting of two levels of SDWT cascaded with one level of MC temporal Haar DWT for video conference systems.…”
Section: Introductionmentioning
confidence: 99%
“…However, several researchers have employed MC 3-D DWT with the spatial DWT (SDWT) preceding MC temporal discrete wavelet transform (MC TDWT). Cafforio et al [9] study the problem of compensating for motion directly in the subband domain and propose processing subbands together by means of interpolators with short impulse responses, adapted to each subband and shift value. Campisi et al [10] use a 3-D DWT consisting of two levels of SDWT cascaded with one level of MC temporal Haar DWT for video conference systems.…”
Section: Introductionmentioning
confidence: 99%
“…For this kind of information, the most matching block can hardly be obtained by using the general rule of squared error. Literature [3] indicates that the motion compensation in the high frequency frames can increase the energy and variance, which leads to a bad performance. Then, the motion compensation is only performed in the two low frequency frames of each group, the predictive low frequency frame is obtained by motion compensation with the intra low frequency frame.…”
Section: Video Coding Based On 3d-wt and Motion Compensationmentioning
confidence: 98%
“…Motion estimation and compensation in wavelet domain [3,7,19], have received much attention due to its superior performance by comparing with the conventional motion estimation in spatial domain. Motion estimation in wavelet domain is basically free from the blocking effects by distributing the distortion over the whole picture due to the global transform nature of the wavelet decomposition.…”
Section: Introductionmentioning
confidence: 99%