Výsledky vyhledávání - "2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition"

SUN database: Large-scale scene recognition from abbey to zoo Autor Jianxiong Xiao, Hays, J, Ehinger, K A, Oliva, A, Torralba, A

“…Scene categorization is a fundamental problem in computer vision. However, scene understanding research has been constrained by the limited scope of…”
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Locality-constrained Linear Coding for image classification Autor Jinjun Wang, Jianchao Yang, Kai Yu, Fengjun Lv, Huang, T, Yihong Gong

“…The traditional SPM approach based on bag-of-features (BoF) requires nonlinear classifiers to achieve good image classification performance. This paper…”
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Aggregating local descriptors into a compact image representation Autor Jégou, H, Douze, M, Schmid, C, Pérez, P

“…We address the problem of image search on a very large scale, where three constraints have to be considered jointly: the accuracy of the search, its…”
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Visual object tracking using adaptive correlation filters Autor Bolme, David S, Beveridge, J Ross, Draper, Bruce A, Yui Man Lui

“…Although not commonly used, correlation filters can track complex objects through rotations, occlusions and other distractions at over 20 times the rate of…”
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Deconvolutional networks Autor Zeiler, M D, Krishnan, D, Taylor, G W, Fergus, R

“…Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially…”
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Anomaly detection in crowded scenes Autor Mahadevan, Vijay, Weixin Li, Bhalodia, Viral, Vasconcelos, Nuno

“…A novel framework for anomaly detection in crowded scenes is presented. Three properties are identified as important for the design of a localized video…”
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Person re-identification by symmetry-driven accumulation of local features Autor Farenzena, M, Bazzani, L, Perina, A, Murino, V, Cristani, M

“…In this paper, we present an appearance-based method for person re-identification. It consists in the extraction of features that model three complementary…”
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Secrets of optical flow estimation and their principles Autor Deqing Sun, Roth, S, Black, M J

“…The accuracy of optical flow estimation algorithms has been improving steadily as evidenced by results on the Middlebury optical flow benchmark. The typical…”
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Visual tracking decomposition Autor Junseok Kwon, Kyoung Mu Lee

“…We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object…”
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Discriminative K-SVD for dictionary learning in face recognition Autor Qiang Zhang, Baoxin Li

“…In a sparse-representation-based face recognition scheme, the desired dictionary should have good representational power (i.e., being able to span the subspace…”
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Model globally, match locally: Efficient and robust 3D object recognition Autor Drost, B, Ulrich, M, Navab, N, Ilic, S

“…This paper addresses the problem of recognizing free-form 3D objects in point clouds. Compared to traditional approaches based on point descriptors, which…”
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P-N learning: Bootstrapping binary classifiers by structural constraints Autor Kalal, Z, Matas, J, Mikolajczyk, K

“…This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are…”
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Learning mid-level features for recognition Autor Boureau, Y-Lan, Bach, Francis, LeCun, Yann, Ponce, Jean

“…Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer…”
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Detecting text in natural scenes with stroke width transform Autor Epshtein, B, Ofek, E, Wexler, Y

“…We present a novel image operator that seeks to find the value of stroke width for each image pixel, and demonstrate its use on the task of text detection in…”
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Classification and clustering via dictionary learning with structured incoherence and shared features Autor Ramirez, I, Sprechmann, P, Sapiro, G

“…A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that…”
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Large-scale image retrieval with compressed Fisher vectors Autor Perronnin, F, Yan Liu, Sánchez, J, Poirier, H

“…The problem of large-scale image search has been traditionally addressed with the bag-of-visual-words (BOV). In this article, we propose to use as an…”
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Context-aware saliency detection Autor Goferman, Stas, Zelnik-Manor, Lihi, Tal, Ayellet

“…We propose a new type of saliency - context-aware saliency - which aims at detecting the image regions that represent the scene. This definition differs from…”
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Efficient hierarchical graph-based video segmentation Autor Grundmann, Matthias, Kwatra, Vivek, Mei Han, Essa, Irfan

“…We present an efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm. We begin by…”
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Scale-invariant heat kernel signatures for non-rigid shape recognition Autor Bronstein, M M, Kokkinos, I

“…One of the biggest challenges in non-rigid shape retrieval and comparison is the design of a shape descriptor that would maintain invariance under a wide class…”
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Semi-supervised hashing for scalable image retrieval Autor Jun Wang, Kumar, Sanjiv, Shih-Fu Chang

“…Large scale image search has recently attracted considerable attention due to easy availability of huge amounts of data. Several hashing methods have been…”
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