Abstract / truncated to 115 words (read the full abstract)

Advances in compression techniques, decreasing cost of storage, and high-speed transmission have facilitated the way videos are created, stored and distributed. As a consequence, videos are now being used in many applications areas. The increase in the amount of video data deployed and used in today's applications reveals not only the importance as multimedia data type, but also led to the requirement of efficient management of video data. This management paved the way for new research areas, such as indexing and retrieval of video with respect to their spatio-temporal, visual and semantic contents. This thesis presents work towards a unified framework for semi-automated video indexing and interactive retrieval. To create an efficient index, a set ... toggle 3 keywords

video analysis shot boundary detection active learning


Camara Chavez, Guillermo
Federal University of Minas Gerais
Publication Year
Upload Date
Oct. 3, 2018

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