this dataset, videos are collected from 69 movies. The length of these video clips are from 5 seconds to 180 seconds. The length and diversity of video clips make this dataset a perfect candidate to evaluate our key selector method and the novel loss function.

**YouTube-Objects dataset [@prest2012learning]** is a weakly annotated dataset from YouTube videos, 10 object classes of the PASCAL VOC Challenge [@everingham2010pascal] has been used in this dataset. It contains 9 and 24 video clips for each object class which length of these videos are between 30 seconds to 3 minutes. We used this dataset to evaluate TKD’s overall performance due to its high-quality objects level annotations.

**The pursuit of happyness [@Muccino2008] & The office [@Daniels2013]** are two famous movie and TV series. These two video clips contain several scenes which have smooth transitions. The Pursuit of happyness serves a great testbed since it has scenes in different locations such as office, street, etc. It is also more close to the real world scenario from a camera of the intelligent agent. Also, the Office is selected as most of the scenes have been recorded in the same location which make it suitable for testing our novel loss 