Nikolaidis, Nikos

Pitas, Ioannis

Tefas, Anastasios

Tsingalis, Ioannis

Due to the enormous increase of video and image content on the web the last decades, automatic video annotation became a necessity. The successful annotation of video and image content facilitate a successful indexing and retrieval in searchdatabases. In this work we study a variety of possible shot type characterizations that can be assigned in a single video frame or still image. Possible ways to propagate these characterizations to a video segment (or to an entire shot) are also discussed. Finally, in the case of 3D (stereo) video, the disparity information is usedto detect certain shot types (e.g. over the shoulder ones)

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Shot type characterization in 2D and 3D video content

Ioannis Tsingalis

Anastasios Tefas

Nikos Nikolaidis

Ioannis Pitas

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https://research-information.bris.ac.uk/files/87794380/Ioannis_Pitas_Shot_type_characterization_in_2D_and_3D_video_content.pdf

Shot type characterization in 2D and 3D video content

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