Blood-Vessels
发表于 2025-3-28 15:08:54
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/461515.jpg
projectile
发表于 2025-3-28 18:56:21
Mining Novice User Activity with TRECVID Interactive Retrieval Tasksession did produce a broader shot space to be explored and resulted in more unique answer shots being discovered. Implications for shot suppression in video retrieval information exploration interfaces are discussed.
ascetic
发表于 2025-3-29 01:42:53
Logistic Regression of Generic Codebooks for Semantic Image Retrievalination of patterns from the generic codebook. We evaluate the validity of our approach in an image retrieval scenario with two distinct large datasets of real-world photos and corresponding manual annotations.
恃强凌弱
发表于 2025-3-29 05:51:18
http://reply.papertrans.cn/47/4616/461515/461515_44.png
jocular
发表于 2025-3-29 10:43:55
http://reply.papertrans.cn/47/4616/461515/461515_45.png
水土
发表于 2025-3-29 14:12:59
http://reply.papertrans.cn/47/4616/461515/461515_46.png
灌溉
发表于 2025-3-29 17:34:09
Interactive Experiments in Object-Based Retrievalto an interactive experiment with 24 search topics and 16 users each performing 12 search tasks on 50 hours of rushes video. This experiment attempts to measure the impact of object-based search on a corpus of video where textual annotation is not available.
photopsia
发表于 2025-3-29 23:05:50
http://reply.papertrans.cn/47/4616/461515/461515_48.png
Asparagus
发表于 2025-3-29 23:55:58
A Cascade of Unsupervised and Supervised Neural Networks for Natural Image Classificationgularities around interest points detected by a wavelet-based salient points detector. Finally, images are classified by using a multilayer perceptron receiving local prototypes distribution as input. This architecture obtains good results both in terms of global classification rates and computing times on different well known datasets.
Bricklayer
发表于 2025-3-30 07:54:47
0302-9743University, Tempe, AZ, USA: http://www. civr2006. org. Image and video retrieval cont- ues to be one of the most exciting and fast-growing research areas in the ?eld of multimedia technology. However, opportunities for exchanging ideas between researchers and users of image and video retrieval syst