The data generated on social media sites continues to grow at an increasing rate with more than 36% of tweets containing images making the dominance of multimedia content evidently visible. This massive user generated content has become a reflection of world events. In order to enhance the ability and effectiveness to consume this plethora of data, summarization of these events is needed. However, very few studies have exploited the images attached with social media events to summarize them using "mid-level visual elements". These are the entities which are both representative and discriminative to the target dataset besides being human-readable and hence more informative.