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For future applications like 3DTV and free view point TV, the video data format is likely to comprise of multiple views plus pre-estimated geometric information such as a depth map corresponding to each view. By using multi-view video plus depth (MVD), it is possible to efficiently render virtual views in decoder site. However, the error and packet loss during the transmission will result in the distortion...
Secured data transmission over computer networks can be achieved through steganography. In specific, Image Steganography entails the opportunity of hide any secret information into images. This paper presents the implementation of two image steganographic techniques in MATLAB. The first is a filter method to embed text information into image and new methods have been demonstrated to increase the information...
The work presented in this paper addresses the increasing demand of visual signal delivery to terminals with arbitrary resolutions (like in mobile multimedia communication and cloud computing) for universal access and presentation, without extra computational burden to the receiving end. Scalable image compression and transmission are essential, and to be effective and meaningful, it has to be content-based...
The proliferation of wireless technology, mobile computing, and increasingly sophisticated video codecs have fueled the sharp increase in demand for user-centric applications involving wireless video streaming. Consequently, it is becoming progressively more important to ensure that wirelessly transmitted video signals are delivered with optimal perceptual quality to the end-user. This is in contrast...
In this paper, Advanced Adaptive Image Coding (AAIC) is proposed to increase compression performance for frame delay memory applications. The AAIC contains two techniques to improve the quality of decompressed images. The first is a Mean Adaptive Image Coding (MAIC) to reduce the impact of noise on image compression. The second is a Content-based Bit Exchange Technique (CBBET) to provide an adaptive...
A low-complexity, interlacing-artifact-aware de-interlacing algorithm which can efficiently remove interlacing artifacts from a video sequence before encoding is presented in this paper. The proposed algorithm detects the areas where interlacing artifacts occur and de-interlaces only those detected areas within a frame. It bypasses areas unaffected by artifacts. The proposed de-interlacing algorithm...
Multi-view depth estimation is an important part in the virtual view synthesis and depth map coding within the 3DV/FTV applications. However, existing depth estimation methods generally have difficulty to generate good depth results around object edges or in areas with less texture. To solve this problem, we propose an improved algorithm to obtain a smooth and accurate depth map for view synthesis...
View synthesis algorithms suitable for mobile devices are presented and discussed. The focus is on low complexity rendering methods that enable line wise processing. A full pixel accurate rendering algorithm is compared to two algorithms using sub pixel accuracy: One sub pixel accurate method applies a linear interpolation, while the other method utilizes rendering in an up-sampled domain. An analysis...
In this paper, an intra coding method is proposed aiming to efficiently code the smooth regions in the depth map images. One of the characteristics of typical depth map images is that they contain large gradually changing smooth areas. Traditional block based transform coding algorithms are causing blocking artifacts for this type of regions. Instead of using transform coding, the proposed method...
While the depth maps of 3D video are represented as luminance images, they are used to aid rendering of novel views and are not viewed by an end user. Therefore, metrics that measure the quality of images that are for end user viewing does not necessarily reflect the quality of depth maps in terms of its ability to render views. This paper investigates the relationship between the quality of the rendered...
In 3DTV and free viewpoint imaging systems based on a view-plus-depth representation, depth compression is important for high-quality view synthesis. Several publications have proposed depth down-/up-sampling as part of the depth coding strategy. Recently, we proposed a depth up-sampling method which uses the high resolution view in the process of depth up-sampling. Actually, in 2007 Kopf et.al. already...
The paper proposes a novel method for coding artifact reduction in compressed images. For removing blocking artifacts, a localized DCT-based filter with condition on the similarity between surrounding blocks is considered. To reduce ringing, a localized fuzzy filter is utilized to avoid the blurry effect of linear filter and painting-like effect of conventional fuzzy filter. To enhance chroma components...
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative texture prediction methods have recently been considered for image prediction. These approaches rely on the assumption that the given basis functions (atoms) span the signal residue space at each iteration of the algorithm. However,...
Error resilient video coding critically relies on the accuracy of end-to-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is based on tracking the first and second moments of the decoder reconstructed pixels. This paper is focused on an alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), whose recursion...
Motion compensated prediction (MCP) plays an important role in video coding due to its great capability of reducing temporal redundancy. In this paper, we propose a new MCP scheme by adaptive patch matching with the full use of the reconstructed pixels surrounding the current block (referred to as the template inside the patch) aiming at achieving a more accurate prediction than conventional MCP....
Conventional multi-view video coding (MVC) requires high encoding complexity and high rate data transmission from cameras to a joint encoder. Distributed coding theories guarantee that low complexity and independent encoders can achieve similar coding efficiency as traditional methods. However, there is still a big performance gap between current distributed multi-view video coding (DMVC) schemes...
To exploit both spatial and temporal correlation of video signal, a Second Order Prediction (SOP) scheme has been presented to eliminate the spatial correlation existing in motion compensated residue. Although SOP achieves better RD performance by adopting residue prediction in Mode Decision (MD) stage, it can be further improved by combining residue prediction into Motion Estimation (ME). Our analysis...
In this paper, we present a new object tracking scheme. Different from conventional tracking process, the proposed method is combined with video encoding and can be easily embedded into video encoding system. The only information the tracker need is Summed Absolute Difference (SAD) generated by motion estimation during encoding. These SADs are used as soft votes in a fast Hough-Transform (HT) algorithm...
This paper proposes a novel method that utilizes inter-view correlation in order to reduce the bitrate required to represent the prediction mode including the intra prediction direction, the motion vectors, the reference picture indexes, and the sub-block partitioning. The proposed method derives these kinds of macroblock (MB) information at the decoder side by comparing each image signal predictor...
Multiview video coding (MVC) improves the coding efficiency by motion estimation (ME) and disparity estimation (DE). ME and DE at encoder side involve in heavy computation, which needs to be further reduced for practical applications. This paper presents fast disparity estimation by utilizing depth information to reduce DE's computational complexity. First, the coordinate offset of the encoding block...
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