The Use and Utility of High-Level Semantic Features in Video Retrieval

• Published in: Image and Video Retrieval pp. 134 - 144
• Main Authors: Christel, Michael G., Hauptmann, Alexander G.
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2005; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Exact sciences and technology; Interactive Search; Mean Average Precision; News Corpus; Pattern recognition. Digital image processing. Computational geometry; Semantic Feature; Video Retrieval; Relevance; Face recognition; Image processing; Hierarchical classification; Image retrieval; Semantics; Facies; Video signal; Information retrieval; Data mining

This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contributions of features like outdoor, face, and animal in retrieval, and if users can correctly decide on which features to apply for...