Titlebook: Image Analysis and Processing - ICIAP 2017; 19th International C Sebastiano Battiato,Giovanni Gallo,Filippo Stanco Conference proceedings 2

Antioxidant

A Tensor Framework for Data Stream Clustering and Compressionh the model based on the proposed concept drift detector – if it fits, then the model is updated with that frame. Otherwise, a model is rebuilt. This way obtained shots are then compressed also with the best rank tensor decomposition methods.

殖民地

BALE

VEST

A Rank Aggregation Framework for Video Interestingness Predictiond four learning-to-rank algorithms are considered. The results are promising and show that the rank aggregation methods can be used to improve the overall performance, reaching gains of more than 10% over state-of-the-art solutions.

有害处

360° Tracking Using a Virtual PTZ Camera the center of the virtual camera view. The framework allows to use a single . device to obtain an equirectangular video sequence and to apply the proposed tracking strategy on each target simulating several virtual PTZ cameras.

剥皮

Rejuvenate

A Rank Aggregation Framework for Video Interestingness Predictions, the challenging task of automatically predicting whether a video segment is interesting or not has attracted a lot of attention. Current solutions are usually based on learning models trained with features from different modalities. In this paper, we propose a late fusion with rank aggregation me

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人工制品

吝啬性

Investigating the Use of Space-Time Primitives to Understand Human Movementsnsider cooking activities which may undergo large intra class variations and are characterized by subtle details, observed by different view points. With a BoK procedure we quantize each video frame with respect to a dictionary of meaningful space-time primitives, then we derive time series that mea