Bird Video Summarization Using Pre-trained CNN Model and Deep Learning

Abstract

In the past few years, the forms of data have changed drastically from the text formats to images and today, most of the data are available in the video format. With this, there is a huge demand in the techniques that can provide the overall summary of the video. In this paper, we present the summary of birds that are identified from the large datasets using convolutional neural network (CNN). CNN is one of the best image processing and video processing model. The CNN model that we have used for the task is pre-trained AlexNet. The paper clearly proves that the work proposed recognizes the various kinds of birds from the inputted video with accuracy level ranging between 85 and 99%. At last, we provide the overall summary in terms of start time and end time of existence of each bird in the video.