Shot type characterization in 2D and 3D video content

Ioannis Tsingalis, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

8 Citations (Scopus)
192 Downloads (Pure)

Abstract

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 search
databases. 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 used
to detect certain shot types (e.g. over the shoulder ones).
Original languageEnglish
Title of host publication2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP 2014)
Subtitle of host publicationProceedings of a meeting held 22-24 September 2014, Jakarta, Indonesia
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)9781479958962
ISBN (Print)9781479958979
DOIs
Publication statusPublished - Jan 2015
EventIEEE 16th International Workshop on Multimedia Signal Processing (MMSP2014 - Jakarta, Indonesia
Duration: 22 Sep 201424 Sep 2014

Conference

ConferenceIEEE 16th International Workshop on Multimedia Signal Processing (MMSP2014
CountryIndonesia
CityJakarta
Period22/09/1424/09/14

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