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- research-articleJune 2017
Semi-Automatic Annotation with Predicted Visual Saliency Maps for Object Recognition in Wearable Video
WearMMe '17: Proceedings of the 2017 Workshop on Wearable MultiMediaPages 10–14https://doi.org/10.1145/3080538.3080541Recognition of objects of a given category in visual content is one of the key problems in computer vision and multimedia. It is strongly needed in wearable video shooting for a wide range of important applications in society. Supervised learning ...
- research-articleJune 2017
On the Exploitation of Hidden Markov Models to Improve Location-Based Temporal Segmentation of Egocentric Videos
WearMMe '17: Proceedings of the 2017 Workshop on Wearable MultiMediaPages 1–4https://doi.org/10.1145/3080538.3080539Wearable cameras allow to easily acquire long and unstructured egocentric videos. In this context, temporal video segmentation methods can be useful to improve indexing, retrieval and summarization of such content. While past research investigated ...