Video boundary detection belongs to a basis subject in computer vision. It is more important to video analysis and video understanding. The existing video boundary detection methods always are effective to certain types of video data. These methods have relatively low generalization ability. We present a novel shot boundary detection algorithm based on video dynamic texture. Firstly, the two ad...

In this work we show that Deep Convolutional Neural Networks can outperform humans on the task of boundary detection, as measured on the standard Berkeley Segmentation Dataset. Our detector is fully integrated in the popular Caffe framework and processes a 320x420 image in less than a second. Our contributions consist firstly in combining a careful design of the loss for boundary detection trai...

Shot boundary detection is fundamental to video analysis since it segments a video into its basic components. This paper presents a comparison of several shot boundary detection techniques and their variations including color histogram, edge directions histogram and wavelet transformations statistics. The performance and ease of selecting good thresholds for these algorithms are evaluated based...

We propose the motion direction histogram (MDH) as a new feature for abrupt shot boundary detection in video sequences. Conventional methods for abrupt shot boundary detection use a threshold difference as a measure of the feature values between consecutive images. It is difficult for such conventional methods t o detect shot boundaries in "busy" scenes, in which intensities change substantiall...

In this paper we propose to simultaneously detect lane and pavement boundaries by fusing information from both optical and radar images. The boundaries are described with concentric circular models, whose parameters are compatible and will result in better conditioned estimation problems than previous parabolic models. The optical and radar imaging processes are represented with Gaussian and lo...

This paper addresses automatic detection of dependencies between Japanese phrasal units called bunsetsus, and sentence boundaries in a spontaneous speech corpus. In spontaneous speech, the biggest problem with dependency structure analysis is that sentence boundaries are ambiguous. In this paper, we propose two methods for improving the accuracy of sentence boundary detection in spontaneous Jap...

A video shot is defined as a continuously imaged temporal segment of a video. Since the semantic content of a video is largely based on its production (imaging) process, the complete segmentation of a video into shots is a fundamental first step for most kinds of semantic video processing tasks. Here we present a classification of shot boundary detection algorithms, including those that deal wi...

In computerized analysis of chest radiographs is the detection of the lung field boundaries. Once the boundaries of the lung fields are identified, physiological measurements of the lung features are possible. The properties of the boundary are determined by edge detection along with suitable filter algorithms. The aim of proposed work is to develop an experimental system which segmented and an...

Shot boundary detection is the first step of the video analysis, summarization and retrieval. In this paper, we propose a novel shot boundary detection algorithm using Generalized Eigenvalue Decomposition (GED) and modeling of gradual transitions by Gaussian functions. Especially, we focus on the challenges of detecting the gradual shots and extracting appropriate spatio-temporal features, whic...

Shot boundary detection is an important fundamental process toward automatic video indexing, retrieval, editing, etc. After a critical review of most approaches seeking to solve this problem, we propose a novel shot boundary detection. To improve the performance of the algorithm and reduce the computational cost, frames that are clearly not shot boundaries are first removed from the original vi...