Depth assisted object segmentation in multi-view video

Cigla, Cevahir
Alatan, Abdullah Aydın
In this work, a novel and unified approach for multi-view video (MVV) object segmentation is presented. In the first stage, a region-based graph-theoretic color segmentation algorithm is proposed, in which the popular Normalized Cuts segmentation method is improved with some modifications on its graph structure. Segmentation is obtained by recursive bi-partitioning of a weighted graph of an initial over-segmentation mask. The available segmentation mask is also utilized during dense depth map estimation step, based on a novel modified plane- and angle-sweeping strategy for each of these regions. Dense depth estimation is achieved by region-wise planarity assumption for the whole scene, in which depth models are estimated for sub-regions. Finally, the multi-view image segmentation algorithm is extended to object segmentation in MVV by the additional optical flow information. The required motion field is obtained via region-based matching that has consistent parameterization with color segmentation and dense depth map estimation algorithms. Experimental results indicate that proposed approach segments semantically meaningful objects in MVV with high precision.


Image segmentation with unified region and boundary characteristics within recursive shortest spanning tree
Esen, E.; Alp, Y. K. (2007-06-13)
The lack of boundary information in region based image segmentation algorithms resulted in many hybrid methods that integrate the complementary information sources of region and boundary, in order to increase the segmentation performance. In compliance with this trend, we propose a novel method to unify the region and boundary characteristics within the canonical Recursive Shortest Spanning Tree algorithm. The main idea is to incorporate the boundary information in the distance metric of RSST with minor cha...
Cigla, Cevahir; Alatan, Abdullah Aydın (2009-01-01)
A method for estimating temporally and spatially consistent dense depth maps in multiple camera setups is presented which is important for reduction of perception artifacts in 3D displays. For this purpose, initially, depth estimation is performed for each camera with the piece-wise planarity assumption and Markov Random Field (MRF) based relaxation at each time instant independently. During the relaxation step, the consistency of depth maps for different cameras is also considered for the reliability of th...
Summarizing video: Content, features, and HMM topologies
Yasaroglu, Y; Alatan, Abdullah Aydın (2003-01-01)
An algorithm is proposed for automatic summarization of multimedia content by segmenting digital video into semantic scenes using HMMs. Various multi-modal low-level features are extracted to determine state transitions in HMMs for summarization. Advantage of using different model topologies and observation sets in order to segment different content types is emphasized and verified by simulations. Performance of the proposed algorithm is also compared with a deterministic scene segmentation method. A better...
Object Segmentation in Multi-view Video via Color, Depth and Motion Cues
Cigla, Cevahir; Alatan, Abdullah Aydın (2009-01-01)
In the light of dense depth map estimation, motion estimation and object segmentation, the research on multi-view video (MVV) content has becoming increasingly popular due to its wide application areas in the near future. In this work, object segmentation problem is studied by additional cues due to depth and motion fields. Segmentation is achieved by modeling images as graphical models and performing popular Normalized Cuts method with some modifications. In the graphical models, each node is represented b...
Sarikan, Selim S.; Olgun, Ramazan F.; Akar, Gözde (2011-09-09)
This paper presents a new quality evaluation model for stereoscopic videos using depth map segmentation. This study includes both objective and subjective evaluation. The goal of this study is to understand the effect of different depth levels on the overall 3D quality. Test sequences with different coding schemes are used. The results show that overall quality has a strong correlation with the quality of the background, where disparity is smaller relative to the foreground. The results also showed that con...
Citation Formats
C. Cigla and A. A. Alatan, “Depth assisted object segmentation in multi-view video,” 2008, Accessed: 00, 2020. [Online]. Available: