Antioxidant 发表于 2025-3-23 12:03:22
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 发表于 2025-3-23 17:42:29
http://reply.papertrans.cn/47/4614/461359/461359_12.pngBALE 发表于 2025-3-23 18:53:23
http://reply.papertrans.cn/47/4614/461359/461359_13.pngVEST 发表于 2025-3-24 01:06:23
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 发表于 2025-3-24 05:37:35
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 发表于 2025-3-24 09:07:48
http://reply.papertrans.cn/47/4614/461359/461359_16.pngRejuvenate 发表于 2025-3-24 13:19:40
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暗讽 发表于 2025-3-24 16:51:23
http://reply.papertrans.cn/47/4614/461359/461359_18.png人工制品 发表于 2025-3-24 21:13:28
http://reply.papertrans.cn/47/4614/461359/461359_19.png吝啬性 发表于 2025-3-25 03:00:49
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