Name
Abstract | ||
|---|---|---|
Video information is an important component of multimedia systems such as Digital Library, World-Wide Web (WWW), and Video-On-Demand (VOD) service system. However, since it is difficult to store and retrieve video data like traditional text data, new data models suitable for video information are required. Video information has hierarchical document structure inherently, so it is named "structured video document" in this paper. This paper proposes a data model, a query language, and indexing scheme for structured video documents in order to store, retrieve, and share video documents efficiently in collaborative work environment. In representing structured video documents, the object-oriented data modeling technique is used since the hierarchical structure information can be modeled as complex objects. We also define object types for the structure information. Our query language supports not only content-based retrieval but also structure-based retrieval, which means the queries based on the structure of video documents. In order to perform structure queries efficiently, as well as to reduce the storage overhead of indices, an optimized inverted index structure is proposed. |
Year | Venue | Keywords |
|---|---|---|
1998 | ER Workshops | video databases,structured modeling |
Field | DocType | Volume |
Inverted index,Data modeling,Query language,Object type,Computer science,Document Structure Description,Search engine indexing,Digital library,Data model,Database | Conference | 1552 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-65690-1 | 7 |
PageRank | References | Authors |
24.03 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eunsook Ryu | 1 | 15 | 37.79 |
| Yonghun Kim | 2 | 21 | 28.43 |
| Mi-Young Lee | 3 | 7 | 24.71 |
| Kyu-Chul Lee | 4 | 104 | 56.76 |