Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new video abstraction method in H.264/AVC compressed domain, AVAIF. The method is based on the norm...

This paper proposes a novel fast intra-prediction algorithm that exploits the Sobel operator to replace the Hadamard transform used in the Rough Mode Decision (RMD) process of intra prediction in High Efficiency Video Coding (HEVC). First, the Sobel operator is used to calculate the vector direction of each pixel. A judgment is then made on which prediction mode the vector belongs to, and a his...

This paper proposes a novel fast intra-prediction algorithm that exploits the Sobel operator to replace the Hadamard transform used in the Rough Mode Decision (RMD) process of intra prediction in High Efficiency Video Coding (HEVC). First, the Sobel operator is used to calculate the vector direction of each pixel. A judgment is then made on which prediction mode the vector belongs to, and a his...

This paper proposes creating new reversible marking technique. This originally based on indentifying parts of the image which are watermarked using two different Histogram Shifting (HS) modulations. One is Pixel Histogram shifting and other is Dynamic Prediction Error Histogram Shifting (DPEHS). This technique offers a very good compromise in terms of capacity and image quality preservation for...

In this paper a new desired histogram method is proposed to enhance the contrast of bimodal SAR images using histogram specification with Gamma distribution. The method is aimed to estimate the statistical parameters of the original histogram as the means and prior probabilities of the two modes using the Maximum Likelihood Gamma Distribution technique (ML). Next, we separate the two modes by s...

This paper tries to provide a new perspective for the research of reversible watermarking based on histogram shifting of prediction errors. Instead of obtaining one prediction error for the current pixel, we calculate multiple prediction errors by designing a multi-prediction scheme. An asymmetric error histogram is then constructed by selecting the suitable one from these errors. Compared with...

We present an automated algorithm for global contrast enhancement of images with multimodal histograms. To locate modes and valleys, histogram analysis is performed by kernel density estimation, a robust nonparametric statistical method. Histogram warping by monotonic splines pushes the modes apart, spreading them out more evenly across the dynamic range. This technique can assist in the contra...

We propose a new image sonar segmentation by combining two complementary competencies. On the one hand, following an image processing approach, we aim at partitioning raw image data to provide a binary image. On the other hand, we take advantage of technological knowledge such as the principle of sonar image formation. For sonar images, grey-level histogram generally presents a single mode whic...

We develop a method capable to identify important amino acids for histogram-based methods predicting DNA-binding propensity. This method can be used both for prediction from sequence information (Tube Histograms) and prediction from structural information (Ball Histograms). We validate our method in prediction experiments using only proteins’ primary structure, achieving favourable accuracies. ...