Hierarchical navigation and visual search for video keyframe retrieval
10.1007/978-3-642-27355-1_67
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/15510
Tipus de documentComunicació de congrés
Data publicació2012
EditorSpringer Verlag
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This work presents a browser that supports two strategies
for video browsing: the navigation through visual hierarchies and the
retrieval of similar images. The input videos are firstly processed by a
keyframe extractor to reduce the temporal redundancy and decrease the
number of elements to consider. These generated keyframes are hierarchically
clustered with the Hierachical Cellular Tree (HCT) algorithm,
an indexing technique that also allows the creation of data structures
suitable for browsing. Different clustering criteria are available, in the
current implementation, based on four MPEG-7 visual descriptors computed
at the global scale. The navigation can directly drive the user to
find the video timestamps that best match the query or to a keyframe
which is globally similar in visual terms to the query. In the latter case,
a visual search engine is also available to find other similar keyframes,
based as well on MPEG-7 visual descriptors.
CitacióVentura, C. [et al.]. Hierarchical navigation and visual search for video keyframe retrieval. A: International Conference on MultiMedia Modeling. "Advances in Multimedia Modeling, Proceedings of the 18th International Conference, MMM 2012". Klagenfurt: Springer Verlag, 2012, p. 652-654.
ISBN978-3-642-27354-4
Versió de l'editorhttp://www.springerlink.com/content/g225j8144x104683/
Fitxers | Descripció | Mida | Format | Visualitza |
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VenturaVBS2012-PrePrint.pdf | PrePrint | 589,4Kb | Visualitza/Obre | |
how-to.pdf | How to | 6,559Mb | Visualitza/Obre | |
workflow.pdf | Workflow | 627,7Kb | Visualitza/Obre | |
tutorial.mp4 | Video tutorial | 3,538Mb | MPEG-4 | Visualitza/Obre |