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» ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
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ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 5 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 6 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
TRECVID
2008
13 years 6 months ago
Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval
We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Ru...
BTW
2007
Springer
292views Database» more  BTW 2007»
13 years 8 months ago
Effective and Efficient Indexing for Large Video Databases
Abstract: Content based multimedia retrieval is an important topic in database systems. An emerging and challenging topic in this area is the content based search in video data. A ...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
ECIR
2010
Springer
13 years 6 months ago
Beyond Shot Retrieval: Searching for Broadcast News Items Using Language Models of Concepts
Current video search systems commonly return video shots as results. We believe that users may better relate to longer, semantic video units and propose a retrieval framework for n...
Robin Aly, Aiden R. Doherty, Djoerd Hiemstra, Alan...