Embedding hierarchical clustering in product quantization for feature indexing
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6626-9
Abstract: Effective indexing is a crucial need for large scale object matching and retrieval. In this work, a novel indexing scheme is presented, that exploits the advantages of hierarchical clustering and product quantization. First, the high… read more here.
Keywords: hierarchical clustering; clustering product; feature; product quantization ... See more keywords
Kernelized product quantization
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DOI: 10.1016/j.neucom.2016.12.016
Abstract: There has been increasing interest in learning compact binary codes for large-scale image data representation and retrieval. In most existing hashing-based methods, high-dimensional vectors are hashed into Hamming space, and the similarity between two vectors… read more here.
Keywords: space; binary codes; quantization; hashing based ... See more keywords
Distribution Sensitive Product Quantization
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DOI: 10.1109/tcsvt.2017.2759277
Abstract: Product quantization (PQ) seems to have become the most efficient framework of performing approximate nearest neighbor (ANN) search for high-dimensional data. However, almost all existing PQ-based ANN techniques uniformly allocate precious bit budget to each… read more here.
Keywords: distribution sensitive; sensitive product; distribution; product quantization ... See more keywords
Bilinear Optimized Product Quantization for Scalable Visual Content Analysis
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DOI: 10.1109/tip.2017.2722224
Abstract: Product quantization (PQ) has been recognized as a useful technique to encode visual feature vectors into compact codes to reduce both the storage and computation cost. Recent advances in retrieval and vision tasks indicate that… read more here.
Keywords: quantization scalable; product; bilinear optimized; optimized product ... See more keywords
Online Variable Coding Length Product Quantization for Fast Nearest Neighbor Search in Mobile Retrieval
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DOI: 10.1109/tmm.2016.2617089
Abstract: Quantization methods are crucial for efficient nearest neighbor search in many applications such as image, music, or product search. As mobile devices are becoming increasingly more popular, the quantization methods on mobile devices are more… read more here.
Keywords: quantization methods; search; quantization; coding length ... See more keywords
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3165024
Abstract: Deep product quantization networks (DPQNs) have been successfully used in image retrieval tasks, due to their powerful feature extraction ability and high efficiency of encoding high-dimensional visual features. Recent studies show that deep neural networks… read more here.
Keywords: product quantization; mml; adversarial examples; generation ... See more keywords