Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Indexes for User Access to Large Video Databases

Lawrence A. Rowe, John S. Boreczky and Charles A. Eads

EECS Department
University of California, Berkeley
Technical Report No. UCB/CSD-94-796
February 1994

http://www.eecs.berkeley.edu/Pubs/TechRpts/1994/CSD-94-796.pdf

Video-on-Demand systems have received a good deal of attention recently. Few studies, however, have addressed the problem of locating a video of interest in a large video database. This paper describes the design and implementation of a metadata database and query interface that attempts to solve this information retrieval problem.

Sample queries were collected by interviewing a variety of users. These queries guided the design of indexes that can be used to answer the types of queries users want to ask. Three types of indexes were identified: 1) bibliographic (e.g., title, abstract, subject keywords, genre, director, cast, etc.), 2) structural (e.g., segments, scenes, shots, transitions, sound effects, etc.), and 3) content (e.g., keyframe sequences, scripts, objects and actors in scenes, etc.).

A mixed-mode query interface was built that allows a user to select a set of videos and/or frame sequences and incrementally modify the answer set. The interface includes relational, hierarchical browsing, and keyword search operations.


BibTeX citation:

@techreport{Rowe:CSD-94-796,
    Author = {Rowe, Lawrence A. and Boreczky, John S. and Eads, Charles A.},
    Title = {Indexes for User Access to Large Video Databases},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {1994},
    Month = {Feb},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/1994/5386.html},
    Number = {UCB/CSD-94-796},
    Abstract = {Video-on-Demand systems have received a good deal of attention recently. Few studies, however, have addressed the problem of locating a video of interest in a large video database. This paper describes the design and implementation of a metadata database and query interface that attempts to solve this information retrieval problem. <p>Sample queries were collected by interviewing a variety of users. These queries guided the design of indexes that can be used to answer the types of queries users want to ask. Three types of indexes were identified: 1) bibliographic (e.g., title, abstract, subject keywords, genre, director, cast, etc.), 2) structural (e.g., segments, scenes, shots, transitions, sound effects, etc.), and 3) content (e.g., keyframe sequences, scripts, objects and actors in scenes, etc.). <p>A mixed-mode query interface was built that allows a user to select a set of videos and/or frame sequences and incrementally modify the answer set. The interface includes relational, hierarchical browsing, and keyword search operations.}
}

EndNote citation:

%0 Report
%A Rowe, Lawrence A.
%A Boreczky, John S.
%A Eads, Charles A.
%T Indexes for User Access to Large Video Databases
%I EECS Department, University of California, Berkeley
%D 1994
%@ UCB/CSD-94-796
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/1994/5386.html
%F Rowe:CSD-94-796