TY - GEN
T1 - Video news retrieval incorporating relevant terms based on distribution of document frequency
AU - Yeh, Jun Bin
AU - Wu, Chung Hsien
PY - 2008
Y1 - 2008
N2 - This paper presents an approach to video news retrieval within an event by integrating visual and textual features. A set of histogram bins of key frames in a shot is adopted as the visual feature, while the term frequency is used as the textual feature. A term scoring method is proposed to enhance the weights of relevant terms in an event by considering the windowed document frequency distribution. The weight for a given term is determined by mean of the difference between usual and unusual term groups which are quantized by the boxplot method. The first experiment evaluate the performance of the proposed method by giving generated document frequency distributions, while the second experiment gives the desired retrieval results for relevant terms in the real data. It concludes the proposed method can increase the performance of retrieving video news stories within an event using relevant terms.
AB - This paper presents an approach to video news retrieval within an event by integrating visual and textual features. A set of histogram bins of key frames in a shot is adopted as the visual feature, while the term frequency is used as the textual feature. A term scoring method is proposed to enhance the weights of relevant terms in an event by considering the windowed document frequency distribution. The weight for a given term is determined by mean of the difference between usual and unusual term groups which are quantized by the boxplot method. The first experiment evaluate the performance of the proposed method by giving generated document frequency distributions, while the second experiment gives the desired retrieval results for relevant terms in the real data. It concludes the proposed method can increase the performance of retrieving video news stories within an event using relevant terms.
UR - http://www.scopus.com/inward/record.url?scp=70350675329&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350675329&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89796-5_60
DO - 10.1007/978-3-540-89796-5_60
M3 - Conference contribution
AN - SCOPUS:70350675329
SN - 354089795X
SN - 9783540897958
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 583
EP - 592
BT - Advances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
T2 - 9th Pacific Rim Conference on Multimedia, PCM 2008
Y2 - 9 December 2008 through 13 December 2008
ER -