Video shot boundary detection is the primary task for content based video management and retrieval system. This paper proposes a shot boundary detection strategy by exploiting the pros of Normalized Periodogram for efficiently representing the content of the video. A Normalized Periodogram based distance metric to detect the key frames using shot boundary, namely DistanceLeft-Right (DLR), is ad...

Ratio Contour algorithm is recently introduced into the research about image segmentation. Several papers show that Ratio Contour has good performance on salient boundary detection, which can reach global optimization. This paper aims to solve hierarchical region-based segmentation by Ratio Contour algorithm. Two important problems should be addressed for this purpose: One is extending boundary...

with an increasing emphasis on security, automated personal identification based on biometrics has been receiving extensive attention. iris recognition, as an emerging biometric recognition approach, is becoming a very active topic in both research and practical applications. in general, a typical iris recognition system includes iris imaging, iris liveness detection, and recognition. this rese...

the edges of an image define the image boundary. when the image is noisy, it does not become easy to identify the edges. therefore, a method requests to be developed that can identify edges clearly in a noisy image. many methods have been proposed earlier using filters, transforms and wavelets with ant colony optimization (aco) that detect edges. we here used aco for edge detection of noisy ima...

Electrical coupling between photoreceptors results in the extensive spreading of output potentials along the syncytium of photoreceptor terminals. This smoothing of output potentials seems to make spatial resolution worse. However, the photoreceptor noise that is considered to be non-correlated both in space and time is smoothed to the greater extent than the correlated potential difference acr...

Illumination variation poses a serious problem in video shot detection. It causes false cuts in many shot detection algorithms. A new illumination invariant measure metric is proposed in this paper. The metric is based on the assumption: the outputs of derivative filters to log-illumination are sparse. Thus the outputs of derivative filters to log-image are mainly caused by the scene itself. If...

We study the problem of detection of a p-dimensional sparse vector of parameters in the linear regression model with Gaussian noise. We establish the detection boundary, i.e., the necessary and sufficient conditions for the possibility of successful detection as both the sample size n and the dimension p tend to the infinity. Testing procedures that achieve this boundary are also exhibited. Our...

We examine the practical constraints imposed on the task of sentence boundary detection in speech recognizer output, by the requirements of a system that supports large-scale commercial off-line transcription of dictations. We develop and evaluate a method that observes these constraints, reformulating the best technique previously reported in order to allow the use a smoothing technique direct...

In this article, we present a language-independent, unsupervised approach to sentence boundary detection. It is based on the assumption that a large number of ambiguities in the determination of sentence boundaries can be eliminated once abbreviations have been identified. Instead of relying on orthographic clues, the proposed system is able to detect abbreviations with high accuracy using thre...

Edges are key components of any visual scene to the extent that we can recognise objects merely by their silhouettes. Human visual system captures edge information using neurons that are sensitive to both intensity discontinuities and particular orientations. The “classical approach” assumes that these cells are only responsive to the stimulus present within their receptive fields (RF), however...