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As personal digital photographs are used more and
more, people may have difficulty in finding their
own digital images in large of collections.
Traditional approaches to search digital photographs
are based on manual keyword indexing of images with
text that describes the content of the images for
subsequent retrieval. However, manual keyword
indexing is too time consuming. This book provided a
new idea which considered human episodic memory for
image retrieval to improve personal imaging
searching usability. Time and location are the main
factors in human episodic memory; this book combined
these types of data for clustering personal photos
into events by a clustering model. This book also
used these types of data to annotate personal images
with keywords. It means the images can either be
manually annotated with a set of keywords chosen by
the owner of the collection, or keywords can be
automatically inferred from the time and location
stamps associated with the image and the Geographic
Names Database Gazetteer.
more, people may have difficulty in finding their
own digital images in large of collections.
Traditional approaches to search digital photographs
are based on manual keyword indexing of images with
text that describes the content of the images for
subsequent retrieval. However, manual keyword
indexing is too time consuming. This book provided a
new idea which considered human episodic memory for
image retrieval to improve personal imaging
searching usability. Time and location are the main
factors in human episodic memory; this book combined
these types of data for clustering personal photos
into events by a clustering model. This book also
used these types of data to annotate personal images
with keywords. It means the images can either be
manually annotated with a set of keywords chosen by
the owner of the collection, or keywords can be
automatically inferred from the time and location
stamps associated with the image and the Geographic
Names Database Gazetteer.