HUMOR: a HUman MOtion Retrieval system with multi-modal queries

Author

Wu, Ming-Yang ; Wu, Yao-Cyan ; Chiu, Chih-Yi ; Chao, Shih-Pin ; Yang, Shi-Nine

Author_Institution

Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

1

fYear

2004

fDate

27-30 June 2004

Firstpage

315

Abstract

The study shows a human motion retrieval system, HUMOR. The system provides high-level multi-modal query interfaces so that users can choose a convenient modality, including text, stickman, images, and motion clip, to specify their queries. Besides, we propose a novel search method based on a well-structured index mechanism to retrieve human motion efficiently. The usability of the multi-modal user interface and the effectiveness of the proposed system has been demonstrated.

Keywords

gesture recognition; image classification; query formulation; query processing; user interfaces; video signal processing; visual databases; human motion retrieval system; images; motion clip; motion database preprocessing; multi-modal query interfaces; query specification; search method; stickman; structured index mechanism; text; video retrieval systems; Chaos; Computer science; Data preprocessing; Feature extraction; Humans; Indexing; Information retrieval; Medical treatment; Search methods; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on

Print_ISBN

0-7803-8603-5

Type

conf

DOI

10.1109/ICME.2004.1394189

Filename

1394189