Predictive video coding is based on motion estimation. In such systems, the temporal correlation is exploited at the encoder, whereas at the decoder, the correlation between the previously decoded frames and the current frame is never exploited. In this chapter, we propose a method for motion estimation at the decoder. Based on the prediction residue and on the already decoded frames, the decoder is able to partially reconstruct the motion field, which therefore can be skipped in the encoded stream. The proposed approach is based on Least Square Estimation (LSE) prediction, and is suitable for low bit-rate video coding, in which the transmission of the motion field has a significant impact on the overall bit-rate. The same technique could also be useful in case of high definition video coding, where a detailed and accurate motion field is required. Preliminary results seem to be very promising.

Video Coding with Motion Estimation at the Decoder

TONOLI, Claudia;MIGLIORATI, Pierangelo;LEONARDI, Riccardo
2010-01-01

Abstract

Predictive video coding is based on motion estimation. In such systems, the temporal correlation is exploited at the encoder, whereas at the decoder, the correlation between the previously decoded frames and the current frame is never exploited. In this chapter, we propose a method for motion estimation at the decoder. Based on the prediction residue and on the already decoded frames, the decoder is able to partially reconstruct the motion field, which therefore can be skipped in the encoded stream. The proposed approach is based on Least Square Estimation (LSE) prediction, and is suitable for low bit-rate video coding, in which the transmission of the motion field has a significant impact on the overall bit-rate. The same technique could also be useful in case of high definition video coding, where a detailed and accurate motion field is required. Preliminary results seem to be very promising.
2010
Ateneo di appartenenza
The Internet of Things
D. Giusto, A. Iera, G. Morabito, L. Atzori
PE6_11 Machine learning, statistical data processing and applications using signal processing (eg. speech, image, video)
PE7_7 Signal processing
Esperti anonimi
Inglese
Internazionale
STAMPA
UNICO
195
203
9
9781441916730
9781441916747
Springer Science+Business Media
New York
STATI UNITI D'AMERICA
Extended version of Proceedings of 20th Tyrrhenian Workshop on Digital Communications
Side information; Video compression; motion estimation; prediction
no
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
3
268
open
Tonoli, Claudia; Migliorati, Pierangelo; Leonardi, Riccardo
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/35504
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