Selection and Dissemination of Digital Video Via the Virtual Video Browser

Abstract

In this paper we describe the Virtual Video Browser (VVB) software application designed to allow the interactive browsing and content-based query of a video database and to facilitate the subsequent playout of selected titles. The VVB is a manifestation of our mechanisms for the location, identification, and delivery of digital audio and video in a distributed system which can be extended to several application domains including multimedia-based home entertainment, catalog shopping, and distance learning. The VVB employs a two phase retrieval process to serve its users. In the query phase, user queries are sent to a metadata server for processing. In the subsequent playout phase, a connection is established between the client workstation and a video server for the delivery of video data. The VVB incorporates a simple query interface that lets users specify their preferences to the system and retrieve the appropriate video. The application is designed to work in a distributed environment where video sequences are stored in different databases interconnected via a network. It has been shown to be a viable target application useful for investigating research problems related to building interactive multimedia systems.

A Survey of Technologies for Parsing and Indexing Digital Video1

“…Relational databases have also is that similar data are pertinent to the same request. Each been used in pictorial queries [9] as well as video queries document is represented by an n-dimensional vector, [41,58]. Chang and Kunii [12] have used 2-D strings to where n is the number of attributes of the data.…”

“…These systems fall broadly under four categories: query by content [12,23,29,30,34], iconic query [8,17,69], SQL query [53,57], and mixed queries [1,17,41,58]. The query by content is based on images, tabular form, similarity retrieval (rough sketches), or by component features (shape, color, texture).…”

“…Moreover, the data need not be stored at a Section 7 we present an example of how the integration single site as illustrated in Fig. 1; therefore, it is important of different aspects of the video computation mentioned to be aware of data existing at different sites [41].…”

Digital Media Information Base

“…pan and zoom) and movements of the subject are computed into feature values, and shots are clustered using these results. In the VOD (Video on Demand) system constructed by Little et al [8], Allen's binary temporal relationships are extended to n-ary relations. Masunaga et al are using "null time intervals" in their system [9] and simplify Allen's temporal relations only to "meets" and "equals."…”

“…In the previously mentioned system of Little et al [8] it is possible to visually retrieve data by a socalled Virtual Video Browser, using descriptive keywords that accompany the video. Tse et al [19] have developed a Visual Interface for Video Browsing, where the characteristic frame of the video is dynamically extracted as a thumbnail.…”