Seamless annotation and enrichment of mobile captured video streams in real-time
Mobile phones are becoming more and more ubiquitous with a large number of these devices having image/video capturing capabilities, connection capabilities and built-in rich sensory. This has encouraged the common user to capture more image/video content than ever before. However, this has created two interrelated problems: 1) while capturing some scene the user may want to get more information about it to make a decision (e.g. a buying one) without painful textual input on these mobile devices and while accounting for multiple meanings associated with a single image, as an image is worth a thousand words and 2) videos captured cannot be easily searched afterwards and hence forgotten due to the lack of proper indexing techniques. In this paper, we are presenting a system addressing the above two problems through a single solution by providing users with real-time automatically generated tags of their currently captured videos. The user can select/deselect from the automatic tags, thus tags can serve as visual query suggestions helping bridging the user's query intent. This same set of tags will be stored with the video for enabling easy content access afterwards.