PIC: Enable large-scale privacy preserving content-based image search on cloud
Many cloud platforms emerge to meet urgent requirements for large-volume personal image
store, sharing and search. Though most would agree that images contain rich sensitive …
store, sharing and search. Though most would agree that images contain rich sensitive …
Efficient -Means++ Approximation with MapReduce
k-means is undoubtedly one of the most popular clustering algorithms owing to its simplicity
and efficiency. However, this algorithm is highly sensitive to the chosen initial centers and …
and efficiency. However, this algorithm is highly sensitive to the chosen initial centers and …
Fast and accurate content-based semantic search in 100m internet videos
Large-scale content-based semantic search in video is an interesting and fundamental
problem in multimedia analysis and retrieval. Existing methods index a video by the raw …
problem in multimedia analysis and retrieval. Existing methods index a video by the raw …
E-commerce products recognition based on a deep learning architecture: Theory and implementation
P Zhang - Future Generation Computer Systems, 2021 - Elsevier
Nowadays, the number of goods in the market is increasing rapidly. In order to realize the
efficient circulation of e-business products, it is necessary to apply the state-of-the-art image …
efficient circulation of e-business products, it is necessary to apply the state-of-the-art image …
Blackthorn: large-scale interactive multimodal learning
This paper presents Blackthorn, an efficient interactive multimodal learning approach
facilitating analysis of multimedia collections of up to 100 million items on a single high-end …
facilitating analysis of multimedia collections of up to 100 million items on a single high-end …
Online multimedia retrieval on CPU–GPU platforms with adaptive work partition
Nearest neighbors search is a core operation found in several online multimedia services.
These services have to handle very large databases, while, at the same time, they must …
These services have to handle very large databases, while, at the same time, they must …
Exquisitor at the video browser showdown 2021: relationships between semantic classifiers
Exquisitor is a scalable media exploration system based on interactive learning, which first
took part in VBS in 2020. This paper presents an extension to Exquisitor, which supports …
took part in VBS in 2020. This paper presents an extension to Exquisitor, which supports …
An efficient fast-response content-based image retrieval framework for big data
In this paper, an efficient fast-response content-based image retrieval (CBIR) framework
based on Hadoop MapReduce is proposed to operate stably with high performance …
based on Hadoop MapReduce is proposed to operate stably with high performance …
ADAM pro : Database Support for Big Multimedia Retrieval
For supporting retrieval tasks within large multimedia collections, not only the sheer size of
data but also the complexity of data and their associated metadata pose a challenge …
data but also the complexity of data and their associated metadata pose a challenge …
Spatial-aware data partition for distributed memory parallelization of ANN search in multimedia retrieval
Content-based multimedia retrieval (CBMR) applications are becoming very popular in
several online services which handles large volumes of data and are submitted to high …
several online services which handles large volumes of data and are submitted to high …