7.1.8.8 Vector of Locally Aggregated Descriptors, VLAD Features

Chapter Contents (Back)
Aggregated Descriptors. VLAD.

Spyromitros-Xioufis, E., Papadopoulos, S., Kompatsiaris, I.Y., Tsoumakas, G., Vlahavas, I.,
A Comprehensive Study Over VLAD and Product Quantization in Large-Scale Image Retrieval,
MultMed(16), No. 6, October 2014, pp. 1713-1728.
IEEE DOI 1410
content-based retrieval BibRef

Duan, L.Y.[Ling-Yu], Lin, J.[Jie], Wang, Z.[Zhe], Huang, T.J.[Tie-Jun], Gao, W.[Wen],
Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search,
MultMed(17), No. 6, June 2015, pp. 828-842.
IEEE DOI 1506
Accuracy BibRef

Wang, Y.[Yitong], Duan, L.Y.[Ling-Yu], Lin, J.[Jie], Wang, Z.[Zhe], Huang, T.J.[Tie-Jun],
Hierarchical multi-VLAD for image retrieval,
ICIP15(4629-4633)
IEEE DOI 1512
Hierarchical Quantization; Image Retrieval; Multi-VLAD BibRef

Wang, Z.[Zhe], Duan, L.Y.[Ling-Yu], Lin, J.[Jie], Huang, T.J.[Tie-Jun], Gao, W.[Wen], Bober, M.[Miroslaw],
Component hashing of variable-length binary aggregated descriptors for fast image search,
ICIP14(2217-2221)
IEEE DOI 1502
Accuracy BibRef

Kim, T.E.[Tak-Eun], Kim, M.H.[Myoung Ho],
Improving the search accuracy of the VLAD through weighted aggregation of local descriptors,
JVCIR(31), No. 1, 2015, pp. 237-252.
Elsevier DOI 1508
vector of locally aggregated descriptors. Compact image descriptor BibRef

Liu, Z., Li, H.Q.[Hou-Qiang], Zhou, W.G.[Wen-Gang], Rui, T., Tian, Q.[Qi],
Making Residual Vector Distribution Uniform for Distinctive Image Representation,
CirSysVideo(26), No. 2, February 2016, pp. 375-384.
IEEE DOI 1602
Vector of Locally Aggregated Descriptors (VLADs). Accuracy BibRef

Tolias, G.[Giorgos], Avrithis, Y.S.[Yannis S.], Jégou, H.[Hervé],
Image Search with Selective Match Kernels: Aggregation Across Single and Multiple Images,
IJCV(116), No. 3, February 2016, pp. 247-261.
Springer DOI 1602
BibRef
And: Erratum: IJCV(116), No. 3, February 2016, pp. 262.
Springer DOI 1602
BibRef
Earlier:
To Aggregate or Not to aggregate: Selective Match Kernels for Image Search,
ICCV13(1401-1408)
IEEE DOI 1403
Hamming Embedding; VLAD; descriptor aggregation; image retrieval BibRef

Avrithis, Y.S.[Yannis S.],
Quantize and Conquer: A Dimensionality-Recursive Solution to Clustering, Vector Quantization, and Image Retrieval,
ICCV13(3024-3031)
IEEE DOI 1403
clustering; image retrieval; nearest neighbor search; vector quantization BibRef

Douze, M.[Matthijs], Ramisa, A.[Arnau], Schmid, C.[Cordelia],
Combining attributes and Fisher vectors for efficient image retrieval,
CVPR11(745-752).
IEEE DOI 1106
BibRef

Dong, L., Liang, Y., Kong, G., Zhang, Q., Cao, X., Izquierdo, E.[Ebroul],
Holons Visual Representation for Image Retrieval,
MultMed(18), No. 4, April 2016, pp. 714-725.
IEEE DOI 1604
Entension from VLAD features. BibRef

Qi, S.Y.[Si-Yuan], Luo, Y.P.[Yu-Pin],
VLAD re-ranking: Iteratively estimating the probability of relevance with relationships between dataset images,
SP:IC(44), No. 1, 2016, pp. 1-11.
Elsevier DOI 1605
Object retrieval BibRef

Zhao, W.L., Ngo, C.W., Wang, H.,
Fast Covariant VLAD for Image Search,
MultMed(18), No. 9, September 2016, pp. 1843-1854.
IEEE DOI 1609
image coding BibRef

Chadha, A.[Aaron], Andreopoulos, Y.[Yiannis],
Voronoi-Based Compact Image Descriptors: Efficient Region-of-Interest Retrieval With VLAD and Deep-Learning-Based Descriptors,
MultMed(19), No. 7, July 2017, pp. 1596-1608.
IEEE DOI 1706
BibRef
Earlier:
Region-of-Interest Retrieval in Large Image Datasets with Voronoi VLAD,
CVS15(218-227).
Springer DOI 1507
Complexity theory, Encoding, Image coding, Image retrieval, Proposals, Quantization (signal), Visualization, Convolutional neural networks (CNN), Voronoi partitioning, deep learning, vector of locally aggregated descriptors, visual, queries BibRef

Xu, Y., Han, Y., Hong, R., Tian, Q.,
Sequential Video VLAD: Training the Aggregation Locally and Temporally,
IP(27), No. 10, October 2018, pp. 4933-4944.
IEEE DOI 1808
feature extraction, feedforward neural nets, image motion analysis, image representation, image sequences, action recognition BibRef

Liu, H.[Hao], Zhao, Q.J.[Qing-Jie], Mbelwa, J.T.[Jimmy T.], Tang, S.[Song], Zhang, J.W.[Jian-Wei],
Weighted two-step aggregated VLAD for image retrieval,
VC(35), No. 12, December 2018, pp. 1783-1795.
WWW Link. 1912
BibRef


Magliani, F.[Federico], Fontanini, T.[Tomaso], Prati, A.[Andrea],
A Dense-Depth Representation for VLAD Descriptors in Content-Based Image Retrieval,
ISVC18(662-671).
Springer DOI 1811
BibRef

Duta, I.C., Nguyen, T.A., Aizawa, K., Ionescu, B., Sebe, N.,
Boosting VLAD with double assignment using deep features for action recognition in videos,
ICPR16(2210-2215)
IEEE DOI 1705
Encoding, Feature extraction, Nickel, Pipelines, Standards, Videos, Visualization, Action Recognition, Deep Features, Double Assignment VLAD (DA-VLAD), Video, Classification BibRef

Tan, Z., Wang, W., Jiang, Y., Wang, R.,
A simple but efficient way to combine VLAD with locality-constrained linear coding,
VCIP16(1-4)
IEEE DOI 1701
Dictionaries BibRef

Harandi, M.T.[Mehrtash T.], Salzmann, M., Porikli, F.M.,
When VLAD Met Hilbert,
CVPR16(5185-5194)
IEEE DOI 1612
BibRef

Faraki, M.[Masoud], Harandi, M.T.[Mehrtash T.], Porikli, F.M.[Fatih M.],
More about VLAD: A leap from Euclidean to Riemannian manifolds,
CVPR15(4951-4960)
IEEE DOI 1510
BibRef

Trichet, R.[Remi], O'Connor, N.E.[Noel E.],
Vector Quantization Enhancement for Computer Vision Tasks,
ACIVS16(398-409).
Springer DOI 1611
BibRef

Zhen, M., Wang, W., Wang, R.,
Improving VLAD with regional PCA whitening,
VCIP15(1-4)
IEEE DOI 1605
Decorrelation BibRef

Zhou, R.[Renhao], Yuan, Q.S.[Qing-Sheng], Gu, X.G.[Xiao-Guang], Zhang, D.M.[Dong-Ming],
Spatial pyramid VLAD,
VCIP14(342-345)
IEEE DOI 1504
image coding BibRef

Sicre, R.[Ronan], Gevers, T.[Theo],
DENSE sampling of features for image retrieval,
ICIP14(3057-3061)
IEEE DOI 1502
Encoding. SIFT. Bag of Visual Words (BOW), Fisher vectors, vector of locally aggregated descriptors (VLAD) BibRef

Eggert, C.[Christian], Romberg, S.[Stefan], Lienhart, R.[Rainer],
Improving VLAD: Hierarchical coding and a refined local coordinate system,
ICIP14(3018-3022)
IEEE DOI 1502
Computer vision BibRef

Jegou, H.[Herve], Zisserman, A.[Andrew],
Triangulation Embedding and Democratic Aggregation for Image Search,
CVPR14(3310-3317)
IEEE DOI 1409
democratic kernel; embedding; image representation; image search like Fisher or VLAD. BibRef

van de Sande, K.E.A.[Koen E.A.], Snoek, C.G.M.[Cees G.M.], Smeulders, A.W.M.[Arnold W.M.],
Fisher and VLAD with FLAIR,
CVPR14(2377-2384)
IEEE DOI 1409
FLAIR: Fast Local Area Independent Representation. BibRef

Arandjelovic, R.[Relja], Zisserman, A.[Andrew],
All About VLAD,
CVPR13(1578-1585)
IEEE DOI 1309
Compact descriptors for very large scale database.
See also Product Quantization for Nearest Neighbor Search. BibRef

Reddy, M.K., Arora, S., Babu, R.V.,
Spatio-temporal feature based VLAD for efficient video retrieval,
NCVPRIPG13(1-4)
IEEE DOI 1408
feature extraction BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Evaluation of Salient Point, Interest Point Detection .


Last update:Apr 18, 2024 at 11:38:49