TY - GEN
T1 - Improving point of view scene recognition by considering textual data
AU - Frinken, Volkmar
AU - Iwakiri, Yutaro
AU - Ishida, Ryosuke
AU - Fujisaki, Kensho
AU - Uchida, Seiichi
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - At the current rate of technological advancement and social acceptance thereof, it will not be long before wearable devices will be common that constantly record the field of view of the user. We introduce a new database of image sequences, taken with a first person view camera, of realistic, everyday scenes. As a distinguishing feature, we manually transcribed the scene text of each image. This way, sophisticated OCR algorithms can be simulated that can help in the recognition of the location and the activity. To test this hypothesis, we performed a set of experiments using visual features, textual features, and a combination of both. We demonstrate that, although not very powerful when considered alone, the textual information improves the overall recognition rates.
AB - At the current rate of technological advancement and social acceptance thereof, it will not be long before wearable devices will be common that constantly record the field of view of the user. We introduce a new database of image sequences, taken with a first person view camera, of realistic, everyday scenes. As a distinguishing feature, we manually transcribed the scene text of each image. This way, sophisticated OCR algorithms can be simulated that can help in the recognition of the location and the activity. To test this hypothesis, we performed a set of experiments using visual features, textual features, and a combination of both. We demonstrate that, although not very powerful when considered alone, the textual information improves the overall recognition rates.
UR - http://www.scopus.com/inward/record.url?scp=84919935024&partnerID=8YFLogxK
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U2 - 10.1109/ICPR.2014.512
DO - 10.1109/ICPR.2014.512
M3 - Conference contribution
AN - SCOPUS:84919935024
T3 - Proceedings - International Conference on Pattern Recognition
SP - 2966
EP - 2971
BT - Proceedings - International Conference on Pattern Recognition
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Pattern Recognition, ICPR 2014
Y2 - 24 August 2014 through 28 August 2014
ER -