… to the joint segmentation and interpretation problem in the proposed framework. For the
interpretation part we exploit the Markov random field (MRF) based image interpretation scheme …

… of image interpretation. In this chapter, we propose a scheme for joint segmentation and
image in… Unlike earlier work in multiresolution interpretation [16] we do not assume a priori, the …

… turn helps the interpretation block in better interpretation. In this paper, we develop a joint
segmentation and image interpretation scheme using the notion of joint hidden Markov model (…

… Figure 1: Overview of our joint segment composition and … can be used for segment bagging).
Segments are composed into … complete image interpretations (FGtiling), we refer to [3, 1]. …

… ability computed by the ProtoSeg is differentiable and can be jointly trained to increase
the segmentation ability of hidden features. Third, the SAM can be used to estimate the …

… segmentation and vice versa. In particular, combined information of different image
modalities makes segmentation significantly more robust. Indeed, fundamental tasks in image …

… For land cover mapping using earth observation imagery, training data may be gathered
on the basis of image interpretation, ground measurements or any other trusted source of …

… the segmentation and interpretation phases of … jointly as either Door and Wall, Wall and
Door, or Door rnd Baseboard. The interpretation Floor, cannot appear beside any interpretation …

… image segmentation. We introduce a representation for the joint density function of the object
and the image … (For interpretation of the reference to color in this figure legend, the reader is …

… This study investigates a new level set method for joint estimation, segmentation, and 3D
interpretation of the optical flow generated by multiple rigid objects in space moving …