Concept-based video retrieval
In this paper, we review 300 references on video retrieval, indicating when text-only
solutions are unsatisfactory and showing the promising alternatives which are in majority …
solutions are unsatisfactory and showing the promising alternatives which are in majority …
Unified video annotation via multigraph learning
Learning-based video annotation is a promising approach to facilitating video retrieval and it
can avoid the intensive labor costs of pure manual annotation. But it frequently encounters …
can avoid the intensive labor costs of pure manual annotation. But it frequently encounters …
[PDF][PDF] The MediaMill TRECVID 2006 semantic video search engine
In this paper we describe our TRECVID 2005 experiments. The UvA-MediaMill team
participated in four tasks. For the detection of camera work (runid: A CAM) we investigate the …
participated in four tasks. For the detection of camera work (runid: A CAM) we investigate the …
Empowering visual categorization with the GPU
KEA van de Sande, T Gevers… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
Visual categorization is important to manage large collections of digital images and video,
where textual metadata is often incomplete or simply unavailable. The bag-of-words model …
where textual metadata is often incomplete or simply unavailable. The bag-of-words model …
A comparison of color features for visual concept classification
Concept classification is important to access visual information on the level of objects and
scene types. So far, intensity-based features have been widely used. To increase …
scene types. So far, intensity-based features have been widely used. To increase …
Learning automatic concept detectors from online video
Concept detection is targeted at automatically labeling video content with semantic concepts
appearing in it, like objects, locations, or activities. While concept detectors have become …
appearing in it, like objects, locations, or activities. While concept detectors have become …
Everyday concept detection in visual lifelogs: validation, relationships and trends
Abstract The Microsoft SenseCam is a small lightweight wearable camera used to passively
capture photos and other sensor readings from a user's day-to-day activities. It captures on …
capture photos and other sensor readings from a user's day-to-day activities. It captures on …
Tag relevance fusion for social image retrieval
X Li - Multimedia Systems, 2017 - Springer
Due to the subjective nature of social tagging, measuring the relevance of social tags with
respect to the visual content is crucial for retrieving the increasing amounts of social …
respect to the visual content is crucial for retrieving the increasing amounts of social …
Correlative multilabel video annotation with temporal kernels
Automatic video annotation is an important ingredient for semantic-level video browsing,
search and navigation. Much attention has been paid to this topic in recent years. These …
search and navigation. Much attention has been paid to this topic in recent years. These …
The university of amsterdam's concept detection system at imageclef 2009
KEA Van De Sande, T Gevers… - … Access Evaluation II …, 2010 - Springer
Our group within the University of Amsterdam participated in the large-scale visual concept
detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of …
detection task of ImageCLEF 2009. Our experiments focus on increasing the robustness of …