Video Segmentation & Summarization Using Modified Genetic Algorithm

A Genetic Algorithm for Video Segmentation and Summarization

We describe a genetic segmentation algorithm for video. This algorithm operates on segments of a string representation. It is similar to both classical genetic algorithms that operate on bits of a string and genetic grouping algorithms that operate on subsets of a set. For evaluating segmentations, we define similarity adjacency functions, which are extremely expensive to optimize with traditio...

Text Summarization Using Cuckoo Search Optimization Algorithm

Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...

Video segmentation algorithm based on modified Mumford-Shah functional

In this paper we present a video segmentation procedure obtained minimizing a modified version of the simplified Mumford Shah functional used for image partition. This procedure uses a graph with spatial and temporal connections to model a video sequence. The temporal connections are defined pre-computing the dense optical flow using methods available in the literature. To simplify the function...

Video Object Segmentation Using the Em Algorithm

A Modified Character Segmentation Algorithm for Farsi Printed Text Using Upper Contour Labelling

In this paper, a modified segmentation algorithm for printed Farsi words is presented. This algorithm is based on a previous work by Azmi that uses the conditional labeling of the upper contour to find the segmentation points. The main objective is to improve the segmentation results for low quality prints. To achieve this, various modifications on local baseline detection, contour labeling an...