Segmentation-Based Motion Estimation for Second Generation Video Coding Techniques

Dufaux, Frédéric; Moscheni, F.

doi:10.1007/978-1-4613-1337-3_6

Cited by 24 publications

(14 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The splitting criterion has effects on the relative volumes of DVF and DFD [7]- [12], and may give rise to unstable motion estimates due to an excesive refinement of the quadtree structure [12], [29]. The usefulness of the motion information for higher-level purposes (as in model-based video coding [5], [30], [31]) highly depends on its robustness (absence of false alarms) and hence on the splitting criterion. Motion-based segmentation algorithms [17], [18] require reliable initial motion information, especially when using sparse (nondense) flows such as those given by variable-size BMA.…”

Section: Conventional Techniques For Transform Quantizer Design Amentioning

confidence: 99%

Perceptual feedback in multigrid motion estimation using an improved DCT quantization

Malo

Gutiérrez

Epifanio

et al. 2001

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

Abstract-In this paper, a multigrid motion compensation video coder based on the current human visual system (HVS) contrast discrimination models is proposed. A novel procedure for the encoding of the prediction errors has been used. This procedure restricts the maximum perceptual distortion in each transform coefficient. This subjective redundancy removal procedure includes the amplitude nonlinearities and some temporal features of human perception. A perceptually weighted control of the adaptive motion estimation algorithm has also been derived from this model. Perceptual feedback in motion estimation ensures a perceptual balance between the motion estimation effort and the redundancy removal process. The results show that this feedback induces a scaledependent refinement strategy that gives rise to more robust and meaningful motion estimation, which may facilitate higher level sequence interpretation. Perceptually meaningful distortion measures and the reconstructed frames show the subjective improvements of the proposed scheme versus an H.263 scheme with unweighted motion estimation and MPEG-like quantization.Index Terms-Entropy constrained motion estimation, nonlinear human vision model, perceptual quantization, video coding.

show abstract

Section: Conventional Techniques For Transform Quantizer Design Amentioning

confidence: 99%

Perceptual feedback in multigrid motion estimation using an improved DCT quantization

Malo

Gutiérrez

Epifanio

et al. 2001

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

show abstract

“…Three-dimensional models have also been applied for the detection, segmentation, and tracking of moving objects in different scenarios [25], [59]. Kalman filtering has been proposed as well for allowing object tracking [16]. Last, a very popular approach to the problem of motion spatial segmentation relies on the use of compound Markov random field (MRF) models [21], [9].…”

Section: ) Homogeneity-based Approach To Spatial or Spatio-temporal mentioning

confidence: 99%

Region-based representations of image and video: segmentation tools for multimedia services

Salembier

Marqués

1999

IEEE Trans. Circuits Syst. Video Technol.

194

View full text Add to dashboard Cite

Abstract-This paper discusses region-based representations of image and video that are useful for multimedia services such as those supported by the MPEG-4 and MPEG-7 standards. Classical tools related to the generation of the region-based representations are discussed. After a description of the main processing steps and the corresponding choices in terms of feature spaces, decision spaces, and decision algorithms, the state of the art in segmentation is reviewed. Mainly tools useful in the context of the MPEG-4 and MPEG-7 standard are discussed. The review is structured around the strategies used by the algorithms (transition based or homogeneity based) and the decision spaces (spatial, spatio-temporal, and temporal).The second part of this paper proposes a partition tree representation of images and introduces a processing strategy that involves a similarity estimation step followed by a partition creation step. This strategy tries to find a compromise between what can be done in a systematic and universal way and what has to be application dependent. It is shown in particular how a single partition tree created with an extremely simple similarity feature can support a large number of segmentation applications: spatial segmentation, motion estimation, region-based coding, semantic object extraction, and region-based retrieval.

show abstract

“…[2][3][4][5][6] Tracking can also be used to assist estimation of coherent motion trajectories and to support object segmentation (cf. 7 ).…”

Section: Introductionmentioning

confidence: 99%

Voting-based simultaneous tracking of multiple video objects

Amer¹

2003

SPIE Proceedings

View full text Add to dashboard Cite

A BSTRACTIn the context of content-oriented applications such as video surveillance and video retrieval this paper proposes a stable object tracking method based on both object segmentation and motion estimation. The method focuses on the issues of speed of execution and reliability in the presence of noise, coding artifacts, shadows, occlusion, and object split.Objects are tracked based on the similarity of their features in successive images. This is done in three steps: object segmentation and motion estimation, object matching, and feature monitoring and correction. In the first step, objects are segmented and their spatial and temporal features are computed. In the second step, using a non-linear voting strategy, each object of the previous image is matched with an object of the current image creating a unique correspondence. In the third step, object segmentation errors, such as when objects occlude or split, are detected and corrected. These new data are then used to update the results of previous steps, i.e., object segmentation and motion estimation. The contributions in this paper are the multi-voting strategy and the monitoring and correction of segmentation errors.Extensive experiments on indoor and outdoor video shots containing over 6000 images, including images with multi-object occlusion, noise, and coding artifacts have demonstrated the reliability and real-time response of the proposed method.

show abstract

Segmentation-Based Motion Estimation for Second Generation Video Coding Techniques

Cited by 24 publications

References 35 publications

Perceptual feedback in multigrid motion estimation using an improved DCT quantization

Perceptual feedback in multigrid motion estimation using an improved DCT quantization

Region-based representations of image and video: segmentation tools for multimedia services

Voting-based simultaneous tracking of multiple video objects

Contact Info

Product

Resources

About