Video databases and content based retrieval in these databases have become popular
with the improvements in technology. Metadata extraction techniques are used for
providing data to video content. One popular metadata extraction technique for mul-
timedia is information extraction from text. For some domains, it is possible to & / #64257 / nd
accompanying text with the video, such as soccer domain, movie domain and news
domain. In this thesis, we present an approach of metadata extraction from match
reports for soccer domain. The UEFA Cup and UEFA Champions League Match
Reports are downloaded from the web site of UEFA by a web-crawler. These match
reports are preprocessed by using regular expressions and then important events are
extracted by using hand-written rules. In addition to hand-written rules, two di& / #64256 / erent
machine learning techniques are applied on match corpus to learn event patterns and
automatically extract match events. Extracted events are saved in an MPEG-7 & / #64257 / le. A
user interface is implemented to query the events in the MPEG-7 match corpus and
view the corresponding video segments.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12609871/index.pdf |
| Date | 01 September 2008 |
| Creators | Gokturk, Ozkan Ziya |
| Contributors | Cicekli, Nihan Kesim |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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