Techniques for detecting an event via social media content. A method includes obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple images; differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images; retrieving one or more images associated with the event semantic concept signal; grouping the one or more images associated with the event semantic concept signal; annotating the group of one or more images with user feedback; and displaying the annotated group of one or more images as a visual description of the detected event.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for detecting an event via social media content, the method comprising: obtaining multiple images from at least one social media source; extracting at least one visual semantic concept from the multiple images; differentiating an event semantic concept signal from a background semantic concept signal to detect an event in the multiple images; retrieving one or more images associated with the event semantic concept signal; grouping the one or more images associated with the event semantic concept signal; annotating the group of one or more images with user feedback; and displaying the annotated group of one or more images as a visual description of the detected event; wherein at least one of the steps is carried out by a computer device. 2. The method of claim 1, wherein said differentiating is based on comparing signal strength of each of the at least one extracted visual semantic concept to a predetermined outlier threshold. 3. The method of claim 1, comprising: overlaying images annotated with a global position system (GPS) function onto a map to provide a geo-spatial representation of the event. 4. The method of claim 1, wherein the multiple images from at least one social media source comprise images derived from photo input. 5. The method of claim 4, wherein the photo input comprises user-posted images on at least one social media source. 6. The method of claim 1, wherein the multiple images from at least one social media source comprise images derived from video input. 7. The method of claim 6, wherein the video input comprises user-posted videos on at least one social media source. 8. The method of claim 1, wherein said obtaining comprises streaming multiple images from the at least one social media source in real-time. 9. The method of claim 1, wherein the at least one visual semantic concept characterizes an event. 10. The method of claim 1, wherein said differentiating comprises measuring a mean and standard deviation of each semantic concept over a user-specified background time period. 11. The method of claim 1, wherein said differentiating comprises using an interactive machine learning algorithm. 12. The method of claim 11, comprising: assessing which of the multiple images contributed most prominently to event detection as event-related. 13. The method of claim 1, wherein said differentiating comprises performing a statistical analysis to compute a probability that an event has occurred. 14. The method of claim 1, comprising: measuring the signal of each semantic concept over time. 15. The method of claim 1, comprising: identifying one or more semantic concept signal peaks that signify a real-time event. 16. The method of claim 1, comprising: retrieving one or more additional images that are relevant to a detected event. 17. The method of claim 1, comprising: monitoring semantics of images uploaded to one or more social media websites over a specified time period. 18. The method of claim 17, comprising: streaming images to a parallel system which applies a set of generated semantic models to the images in real-time. 19. The method of claim 1, comprising: specifying a background time period and an event time period.