Watching movies is one of the most popular national pastimes of the US . According to the CD-ROM database from Persian Press, A Matter of Fact, there are 23,000 movie theater screens in the country, there are VCRs in nearly 60 million homes, cable TV gets to 50 million households, and 38 million homes are cabled for pay TV. Americans spent five billion dollars in 1993 on movie tickets.
That is dwarfed by the 15 billion shelled out for video rentals. It is no surprise that movie guides and directories are among the best-selling publications at bookstores around the country. Making such directories available in database format was an obvious step since computers are available in the homes of millions of movie buffs; this is the type of application that can make even the most computer phobic person a computer user-if it is done right. Some databases will certainly achieve this; others that have pathetic software will make you wonder why to bother with the CD-ROM. when the book is cheaper and better. We review the content of a number of movie databases.
Browsing Video Recordings Using Movie-In-A-Minute
Having entered the terabyte consumer storage era and sailing towards petard hex- storage, we still have only adequate tools for browsing megabytes of stored video information. Movie -in-a-minute is a summarization method that generates a short video preview composed of automatically selected portions of a video recording.
It aims at conveying key aspects of a program and its story in an efficient and entertaining manner. In doing so, movie -in-a-minute allows easy management of hundreds of hours of stored video programs. In this paper we present an approach to generate movie -in-a-minute previews based on automatic video and audio content analysis. The method has been formalized using a knowledge-explicit approach, implemented and tested as a new feature for consumer digital recorders.
A Grid Computing-Based Architecture For On Demand Movie Rendering
High performance distributed computing systems, also referred as computational grids, are becoming more and more important for time consuming applications. Distributed data analyses, as well as data mining and complex numerical simulations, take advantage from grid computing. However industrial grid applications are not of widespread use. In this paper we present an architecture that uses a computational grid for on demand movie rendering. From the user's point of view the grid can be seen as a Web application, able to receive frames to be rendered and to give back the final movie .
In fact our architecture provides a Web interface, simplifying the access to the resources and enabling an industrial application. Moreover all used software is available as open source, showing how an industrial application can be obtained with a low cost of ownership.
Finally the proposed architecture matches all security constraints that are required by industries and experimental results show that it can be really used for industrial purposes.
Automatic Detection of Flash Movie Genre Using Bayesian Approach
As Flash - a relatively new rich media format becomes more and more popular on the Web; genre becomes increasingly important for Flash movie management as a complement to topical principles of classification. Genre classification can identify Flash movies authored in a style to most likely satisfy a user's information need. We present a method for detecting the Flash genre quickly and easily by employing a Bayesian approach. A feature set for representing genre information was proposed and used to build automatic genre classification algorithms.
The performance of the proposed approach was evaluated by training a Bayesian classifier on real-world data sets. Classification results from our experiments on thousands of Flash movies demonstrate the usefulness of this approach.