Sports Video Summarization using Priority Curve Algorithm
Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 9
Abstract
The noble technique, Video summarization is process to represent the content of video in compact manner. It is basically of two type’s static video summary and dynamic video skimming based. Static video summary it is the process that selects a set of salient images (called key frames) extracted or synthesized from the original video to represent the video contents. Dynamic video skimming it is shorter video of the original video made up of several short video clips it can be done in two ways. Present study mainly aims to extract the main events (highlights of the match) from cricket video. And make a short summary of the match so that it can take a small memory space as well as for fast content browsing, transmission, and retrieval.
Authors and Affiliations
K Susheel Kumar , Shitala Prasad , Santosh Banwral , Vijay Bhaskar Semwal
Keywords
Related Articles
- EP ID EP155324
- DOI -
- Views 146
- Downloads 0
Secure Web Service Using Call by Contract
A methodology for designing and composing services in a ecure manner. In particular, it’s concerned with safety roperties of service behavior. Services can enforce security olicies locally and can invoke other service...
An Implementation of Semantic Web System for Information retrieval using J2EE Technologies.
Accessing web resources (Information) is an essential facility provided by web applications to every body. Semantic web is one of the systems that provide a facility to access the resources through web service applicatio...
A Novel Approach for Predicting User Behavior for Improving Web Performance
The rapid growth in the amount of information and the number of users has lead to difficulty in providing effective earch services for the web users and increased web latency; resulting in decreased web performance. Al...
Algorithm for Efficient Multilevel Association Rule Mining
over the years, a variety of algorithms for finding frequent item sets in very large transaction databases have been developed. The problems of finding frequent item sets are basic in multi level association rule mining,...
Fingerprint Verification System Using Support Vector Machine
Efficient fingerprint verification system is needed in many places for personal identification to access physical facilities, information etc. This paper proposes robust verification system based on features extracted fr...