I am building a video search engine. Its main task is to search the videos from the video dataset similar to the video provided by the user. I have tried it in two different ways, first by HISTOGRAM difference and second by using SSIM algorithm to compare each key-frame of both the videos in comparison. But now I want to try a different approach. I want to detect various objects from the various videos from my training video set and store their properties, like shape,size,color,texture,entropy,frequency,etc. now using this objects and their features I can categorize them. Thus which would reduce the number of comparison with the various videos. The video uploaded by the user will be compared with the videos having similar objects and similar features.
But I am confused how to do it. I tried reading about cascading files but couldn't get any hint. So, please if anyone of you know about this or have any ideas can ping me at [email protected]