Scalable motion vector coding

Barbarien, Joeri; Munteanu, Adrian; Verdicchio, Fabio; Andreopoulos, Ioannis; Cornelis, Jan; Schelkens, Peter

doi:10.1109/icip.2004.1419742

Cited by 6 publications

(10 citation statements)

References 3 publications

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“…The work in [26] assumes that fixed block sizes (or regular meshes) are used in the motion estimation phase. More recently, other works have appeared in the literature [27][28][29], describing coding algorithms for motion fields having arbitrary block sizes specifically designed for wavelet-based scalable video codecs. The algorithm described in this paper has been designed independently and shares the general approach of [26,27], since the motion field is quantized when decoding at low bitrates.…”

Section: Related Workmentioning

confidence: 99%

“…More recently, other works have appeared in the literature [27][28][29], describing coding algorithms for motion fields having arbitrary block sizes specifically designed for wavelet-based scalable video codecs. The algorithm described in this paper has been designed independently and shares the general approach of [26,27], since the motion field is quantized when decoding at low bitrates. Despite these similarities, the proposed entropy coding scheme is novel and it is inspired to SPIHT [2], allowing lossy to lossless representation of the motion field (see Section 2.3).…”

Section: Related Workmentioning

confidence: 99%

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Motion Estimation and Signaling Techniques for 2D+t Scalable Video Coding

Tagliasacchi

Maestroni

Tubaro

et al. 2006

EURASIP J. Adv. Signal Process.

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We describe a fully scalable wavelet-based 2D+t (in-band) video coding architecture. We propose new coding tools specifically designed for this framework aimed at two goals: reduce the computational complexity at the encoder without sacrificing compression; improve the coding efficiency, especially at low bitrates. To this end, we focus our attention on motion estimation and motion vector encoding. We propose a fast motion estimation algorithm that works in the wavelet domain and exploits the geometrical properties of the wavelet subbands. We show that the computational complexity grows linearly with the size of the search window, yet approaching the performance of a full search strategy. We extend the proposed motion estimation algorithm to work with blocks of variable sizes, in order to better capture local motion characteristics, thus improving in terms of rate-distortion behavior. Given this motion field representation, we propose a motion vector coding algorithm that allows to adaptively scale the motion bit budget according to the target bitrate, improving the coding efficiency at low bitrates. Finally, we show how to optimally scale the motion field when the sequence is decoded at reduced spatial resolution. Experimental results illustrate the advantages of each individual coding tool presented in this paper. Based on these simulations, we define the best configuration of coding parameters and we compare the proposed codec with MC-EZBC, a widely used reference codec implementing the t+2D framework.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Motion Estimation and Signaling Techniques for 2D+t Scalable Video Coding

Tagliasacchi

Maestroni

Tubaro

et al. 2006

EURASIP J. Adv. Signal Process.

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“…The second category utilizes the spatial dependency be-tween neighboring motion vectors. Barbarien et al [16]- [18] introduced an architecture of quality scalable motion vector coding based on median prediction. Motion vectors are first quantized to form nonscalable base layer.…”

Section: Introductionmentioning

confidence: 99%

Visually Lossless Accuracy of Motion Vector in Overcomplete Wavelet-based Scalable Video Coding

Song¹,

Wang²,

Zhang³

2009

JCP

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In this paper, we propose a visually lossless accuracy model for scalable coding of motion vectors in overcomplete wavelet-based scalable video codec. By exploiting theory of stationary random process, we first estimate motion compensation errors in spatial domain due to inaccurate motion vectors. We then extend the results to overcomplete wavelet domain, and further derive the errors caused by fraction-pixel motion vectors. Finally, combining with a visibility model of wavelet coefficient errors, we propose a novel algorithm to estimate the accuracy threshold of motion vectors with which motion compensation errors will be invisible. Experimental results show that our algorithm is effective in estimating visually lossless accuracy threshold of motion vectors. The proposed algorithm can also be used in scalable motion estimation in wavelet domain. It can accelerate motion estimation speed by stopping halfway at the accuracy that will not cause any visible errors.

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“…Since then, some other researchers have worked on SMC[8,12,45,53,57,58,63,64,107,109]. Various approaches has been followed, but the predominant approach is the variable-size block-based approach.…”

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confidence: 99%

“…For example, for a CIF frame, we can use a motion vector field of QCIF resolution by multiplying each block size and motion vector by 2. Other approaches, however, do provide quality scalability (progressive refinement of motion vector precision) such as those in[8,12,45,88,107].Experimental results suggest that the use of SMC incurs little or no loss to the quality of reconstructed video compared to non-scalable motion description optimized for the quality under consideration; the interested reader is referred to[58,109] for examples. SMC, on the other hand, produces higher quality video for a wider range of bit-rates than what is possible with a single non-scalable motion description.…”

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confidence: 99%

JPEG2000-Based Scalable Interactive Video (JSIV)

Naman

Taubman

2011

IEEE Trans. on Image Process.

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We propose a novel paradigm for interactive video streaming and we coin the term JPEG2000-based scalable interactive video (JSIV) for it. JSIV utilizes JPEG2000 to independently compress the original video sequence frames and provide for quality and spatial resolution scalability. To exploit interframe redundancy, JSIV utilizes prediction and conditional replenishment of code-blocks aided by a server policy that optimally selects the number of quality layer for each code-block transmitted and a client policy that makes most of the received (distorted) frames. It is also possible for JSIV to employ motion compensation; however, we leave this topic to future work. To optimally solve the server transmission problem, a Lagrangian-style rate-distortion optimization procedure is employed. In JSIV, a wide variety of frame prediction arrangements can be employed including hierarchical B-frames of the scalable video coding (SVC) extension of the H.264/AVC standard. JSIV provides considerably better interactivity compared to existing schemes and can adapt immediately to interactive changes in client interests, such as forward or backward playback and zooming into individual frames. Experimental results for surveillance footage, which does not suffer from the absence of motion compensation, show that JSIV's performance is comparable to that of SVC in some usage scenarios while JSIV performs better in others.

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Scalable motion vector coding

Cited by 6 publications

References 3 publications

Motion Estimation and Signaling Techniques for 2D+t Scalable Video Coding

Motion Estimation and Signaling Techniques for 2D+t Scalable Video Coding

Visually Lossless Accuracy of Motion Vector in Overcomplete Wavelet-based Scalable Video Coding

JPEG2000-Based Scalable Interactive Video (JSIV)

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