TY - GEN
T1 - Content and context information fusion for mobile landmark recognition
AU - Chen, Tao
AU - Yap, Kim Hui
AU - Chau, Lap Pui
PY - 2011/12
Y1 - 2011/12
N2 - This paper proposes a new information fusion approach that employs two information components for mobile landmark recognition, which includes: content analysis and context analysis. Existing landmark recognition works are mainly based on PC platform, which uses content analysis alone for recognition, and thus has a large computation cost and cannot satisfy mobile users' fast response time requirements. Therefore in this paper, a mobile platform-based landmark recognition system is developed. The bag-of-words method is employed and further improved as content analysis according to the specific features of landmark images. Context analysis based on location (obtained by global positioning system) and direction (obtained by digital compass) information is then integrated with improved BoW as a new information fusion approach for mobile landmark recognition. Finally, the experiment results conducted on the NTU landmark database show that the proposed approach is effective for mobile landmark recognition.
AB - This paper proposes a new information fusion approach that employs two information components for mobile landmark recognition, which includes: content analysis and context analysis. Existing landmark recognition works are mainly based on PC platform, which uses content analysis alone for recognition, and thus has a large computation cost and cannot satisfy mobile users' fast response time requirements. Therefore in this paper, a mobile platform-based landmark recognition system is developed. The bag-of-words method is employed and further improved as content analysis according to the specific features of landmark images. Context analysis based on location (obtained by global positioning system) and direction (obtained by digital compass) information is then integrated with improved BoW as a new information fusion approach for mobile landmark recognition. Finally, the experiment results conducted on the NTU landmark database show that the proposed approach is effective for mobile landmark recognition.
KW - content and context integration
KW - information fusion
KW - mobile landmark recognition
UR - http://www.scopus.com/inward/record.url?scp=84860623983&partnerID=8YFLogxK
U2 - 10.1109/ICICS.2011.6174261
DO - 10.1109/ICICS.2011.6174261
M3 - Conference article published in proceeding or book
AN - SCOPUS:84860623983
SN - 9781457700309
T3 - ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
BT - ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
T2 - 8th International Conference on Information, Communications and Signal Processing, ICICS 2011
Y2 - 13 December 2011 through 16 December 2011
ER -