How to extract prominent information from a video stream?

Multimedia content is being produced and consumed more frequently as a result of the internet’s easier accessibility and abundance of sophisticated imaging equipment brought about by technology’s exponential growth. The effectiveness of numerous video processing applications, such as video searching, retrieval, indexing, sharing, and many more, is impacted by the time-consuming process of analyzing representative or meaningful information from such massive data. To address these problems, a variety of video summarization techniques have been proposed in the literature. These techniques involve extracting key-frames or key-shots from the original video in order to produce a brief but informative summary. The most recent methods for video summarization are discussed in this paper, along with their drawbacks and difficulties.

We would like to introduce a recently published paper entitled “A review on video summarization techniques” [1] that investigates summarization strategies from an integrated perspective, taking into account the unique characteristics of changing video data types in terms of views, dimensions, modality, and content. With the help of a classification framework like this, we can more easily and critically evaluate current advancements, potential paths, constraints, datasets, application domains, etc.

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[1] Meena, Preeti, Himanshu Kumar, and Sandeep Kumar Yadav. “A review on video summarization techniques.” Engineering Applications of Artificial Intelligence 118 (2023): 105667.