The wide availability of digital content and the advances in multimedia technology have leveraged the development of efficient mechanisms for storing, indexing, transmitting, retrieving and visualizing video data. A challenging task is to automatically construct a compact representation of video sequences to help users comprehend the most relevant information present in their content. In this work, we develop and evaluate a novel method for detecting abrupt transitions based on bit planes extracted from the video frames. Experiments are conducted on two public datasets to demonstrate the effectiveness of the proposed method. Results are compared against other approaches of the literature.
CITATION STYLE
Sousa e Santos, A. C., & Pedrini, H. (2018). Exploring image bit planes for video shot boundary detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10657 LNCS, pp. 593–600). Springer Verlag. https://doi.org/10.1007/978-3-319-75193-1_71
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