Abstract
Digital cameras and mobile phones have given people around the world the ability to take a large number of photos and store them on their computers. As these images serve the purpose of storing memories and bringing them to mind in the potentially far future, it is important to also store the impressions a user may have from them. Annotating these images can be a laborious process and the work here presents an application design and functioning implementation, which is openly available now, to ease the effort of this task. It also draws inspiration from interface developments of previous applications such as the Nokia Lifeblog and the Facebook user interface. A different mode of sentiment entry is provided where users interact with slider widgets rather than select a emoticon from a set to offer a more fine grained value. Special attention is made to avoid cognitive strain by avoiding nested tool selections.
Highlights
The ‘tag’ word comes from popularization of the Hashtag introduced by Twitter [1] where users of the online platform provide keywords with the # character proceeding it so that the users can filter their content feeds [2] based on these hashtags
7k images to train for the single mode use case
Equation (2) that are the percentages from the number of images that have annotations of that type
Summary
7k images to train for the single mode use case (not batch but a single image tagging) Another deep learning approach in [26] uses the sentences alongside image to assist, and, given that this implementation provides text, such an approach is the most similar as the keywords and image stores are associated, but it is not a personalized tagging experience for the user since thousands of images are required. Andriyanov and Lutfullina [27] showed how important ‘human factors’ are in general as they studied traffic accidents in the context of artificial intelligence becoming more of an assistance They correctly highlighted the need to investigate the stimuli which cause distractions and how emotions in regards to similar stimuli can change as a consequence of inner emotional states.
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