New Framework for Automated Extraction of Key Frames from Compressed Video

Abstract

The effective extraction of key frames from a video stream is an essential task for summarizing and representing the content of a video. Accordingly, this paper proposes a new and fast method for extracting key frames from a compressed video. In the proposed approach, after the entire video sequence has been segmented into elementary content units, called shots, key frame extraction is performed by first assigning the number of key frames to each shot, and then distributing the key frames over the shot using a probabilistic approach to locate the optimal position of the key frames. The main advantage of the proposed method is that no time-consuming computations are needed for distributing the key frames within the shots and the procedure for key frame extraction is completely automatic. Furthermore, the set of key frames is independent of any subjective thresholds or manually set parameters.

Design and Implementation of Key Frame Sharing Application in Android Using Chord Protocol

“…The use of key frames to represent the content of a video has been previously discussed in many research papers as an efficient way of preserving the temporal information of sequence based on a small amount of data [5,6]. The underlying assumption is that if these frames are extracted using an appropriate video sampling method, the visual content of each segment of the sequence can be easily understood by looking at given samples.…”

“…Furthermore, for query processes involving the search for video parts containing specific objects, the concept of key frames can also be useful. In our application, we adapted a three-step key frame extraction method [6] for efficient video content representation, which was proposed in 2012.…”