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A new region-based frame interpolation algorithm is proposed based on the segmented motion layers with planar perspective motion models. It is shown that performing the motion model interpolation in the homography parameter space is equivalent to interpolating the parameters of the real camera motion, which requires decomposition of the homography matrix, under several practically reasonable assumptions...
In this paper, a novel watermarking method for depth-image-based rendering methods employed in free viewpoint television systems is proposed. The proposed method uses a correlation-based approach; where a watermark pattern is warped for each different view of the multi-view source video, and embedded to the texture maps of those views in spatial domain. First, the projection matrix of the 2D rendered...
We present a video shot boundary detection algorithm based on the novel graph theoretic concept, namely dominant sets. Dominant sets are defined as a set of the nodes in a graph, mostly similar to each other and dissimilar to the others. In order to achieve this goal, candidate shot boundaries are determined by using simply pixel-wise differences between consequent frames. For each candidate position,...
A novel approach, which is based on combining the competence of interest point detectors to capture primitives and the capability of geometric constraints to discriminate between spatial configurations of these primitives is presented. In the proposed approach, the geometric constraints are enforced by means of barycentric coordinates, a mathematical tool that has been utilized in the relevant literature...
Content based copy detection (CBCD) emerges as a viable choice against active detection methodology of watermarking. The very first reason is that the media already under circulation cannot be marked and secondly, CBCD inherently can endure various severe attacks, which watermarking cannot. Although in general, media content is handled independently as visual and audio in this work both information...
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...
A new region-based depth ordering algorithm is proposed based on the segmented motion layers with affine motion models. Starting from an initial set of layers that are independently extracted for each frame of an input sequence, relative depth order of every layer is determined following a bottom-to-top approach from local pair-wise relations to a global ordering. Layer sets of consecutive time instants...
Data hiding is now a part of daily life through various applications. In this work, we apply two data hiding methods, quantization index modulation and forbidden zone data hiding, to video applications. We place these methods into a general video data hiding scheme and compare their performance against compression attacks. The results of the experiments with typical TV content indicate the superiority...
Content based copy detection is an alternative approach to invisible watermarking for tracking duplicate data. Primary stages are creating a database using the features belonging to the original data and searching query data in terms of its features in this database. Features must be robust against targeted attacks and discriminative enough to distinguish different content. In this work, we propose...
Semantic information retrieval from unorganized point clouds becomes necessity for incoming technology such as 3DTV. Besides we surrounded with planar, nearly planar and partially planar things. With this motivation we aim to find planar structures in 2.5D point clouds. With the Hough Transform found in literature, Recursive Hough Transform and Hough Trasform with segmentation algorithms, which are...
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...
In this study, a video shot boundary detection algorithm based on the dominant sets concept is proposed. Dominant sets method is a graph theoretic clustering algorithm. Proposed method is based on a weighted undirected graph. Candidate shot boundaries are determined and graphs are constructed by taking 2 frames from the right of the candidate position and 4 frames from the left of the candidate position...
In any practical application of the 2-D-to-3-D conversion that involves storage and transmission, representation efficiency has an undisputable importance that is not reflected in the attention the topic received. In order to address this problem, a novel algorithm, which yields efficient 3-D representations in the rate distortion sense, is proposed. The algorithm utilizes two views of a scene to...
A graph theoretic color image segmentation algorithm is proposed, in which the popular normalized cuts image segmentation method is improved with modifications on its graph structure. The image is represented by a weighted undirected graph, whose nodes correspond to over-segmented regions, instead of pixels, that decreases the complexity of the overall algorithm. In addition, the link weights between...
The recent advances in image based rendering (IBR) have pioneered freely determining the viewing position and angle in a scene from multi-view video. Noting that a person could also record a personal video for this arbitrarily selected view and misuse this content, apparently, copyright and copy protection problems also exist and should be solved for IBR applications. In our recent work [1], we have...
In the light of dense depth map estimation, motion estimation and object segmentation, the research on multi-view video (MW) 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...
In this paper, we propose novel methods for background modeling, occlusion handling and event recognition by using multi-camera configurations. Homography-related positions are utilized to construct a mixture of multivariate Gaussians to generate a background model for each pixel of the reference camera. Occlusion handling is achieved by generation of the top-view via trifocal tensors, as a result...
In this work, a comparative study on sparse metric 3D reconstruction from typical video content is presented. Experimental tests are performed in order to evaluate the performances of competing algorithms from the literature in several stages of 3D reconstruction, such as feature detection and epipolar geometry estimation. During the simulations, competing algorithms, such as SIFT and Harris corner...
Increasing trend in the usage of translucent television logos by broadcast channels renders opaque logo detection algorithms inadequate. Important applications such as identification of broadcast types make the detection of translucent logos a significant requirement. This paper presents a method for detecting translucent television logos in video streams. Firstly, boundary information of the logo,...
A graph theoretic color image segmentation algorithm is proposed, in which the popular normalized cuts image segmentation method is improved with modifications on its graph structure. The image is represented by a weighted undirected graph, whose nodes correspond to over-segmented regions, instead of pixels, that decreases the complexity of the overall algorithm. In addition, the link weights between...
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