The huge growth in the use of digital images has led to the creation of many large image collections. The value of these databases is proportional to the speed/accuracy with which they can be searched. The majority of collections if indexed are dependent upon keywording for search and retrieval of images, and there has long been the need for a user friendly interface to enable the browsing of image collections.
With the huge growth in digital image collections has come the problem of searching or viewing the contents. The traditional method of searching digital image collections is by use of keyword search, a method which works most effectively if the user has a specific goal in mind.
However, up to 50% of searches can be 'inspirational', i.e. anyone searching for inspiration, shape, colour, texture, mood or fun. Such users include designers, artists, publishers, PR, media, researchers and free spirits, and anybody searching for an object which is difficult to describe with a keyword. In these cases, the results returned from keyword searching often do not match the users expectations, resulting in additional time and frustration.
Recent research has shown that up to 50% of web users would prefer to browse rather than use keyword searches to find the information they are seeking. Current technology has not kept pace with these requirements, hence the opportunity for See-View.
In simple terms, See-View utilises pictures rather than words to interrogate, cluster and display digital image collections. By providing an alternative browsing experience which is an enhancement to keyword searching, See-View dramatically improves the speed, accuracy, enjoyment, and ease of viewing digital image databases.