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A dataset for scene classification based on camera metadata

Zhao, K., Cao, C., Zhang, H. and Song, Yi-Zhe (2013) A dataset for scene classification based on camera metadata In: 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2012), 21-23 Sep 2012, Beijing, China.

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Abstract

In this paper, we introduce a new dataset for scene classification based on camera metadata. We classify the most common scenes that have been researched much recently. This dataset consists of 12 scene categories. Each category contains 500 to 2000 images. Most images are high resolution such as 2000×2000 pixels. The images in the dataset are original, namely, each image brings with a camera metadata (EXIF). Various types, metadata cues of photos, strict definitions among scenes are characteristic factors that make this dataset a very challenging testbed for photo classification. We supply the scene photos together with scene labeling, as well as the EXIF information extraction via methodology, and we apply the dataset into sementic scene classification up to now.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Zhao, K.
Cao, C.
Zhang, H.
Song, Yi-Zhey.song@surrey.ac.uk
Date : April 2013
DOI : 10.1109/ICNIDC.2012.6418792
Uncontrolled Keywords : Camera metadata; EXIF; Scene classification
Related URLs :
Additional Information : Printed proceedings published by Curran Associates Inc.
Depositing User : Clive Harris
Date Deposited : 12 Aug 2019 14:03
Last Modified : 12 Aug 2019 14:03
URI: http://epubs.surrey.ac.uk/id/eprint/852148

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