Deep Image Synthesis, Analysis and Indexing Using Integrated CNN Architectures by Muhammad Arslan, Muhammad Asad, Ali Haider Khan, Sajid Iqbal, Muhammad Nabeel Asghar, Abdullah Abdulrhman Alaulamie

Subjects: “…Deep image retrieval…”
Get full text

The Application of Similar Image Retrieval in Electronic Commerce by YuPing Hu, Hua Yin, Dezhi Han, Fei Yu

“…For solving these problems, we discuss and research the application of similar image retrieval in electronic commerce. Aiming at improving the network customers’ experience and providing merchants with the accuracy of advertising, we design a reasonable and extensive electronic commerce application system, which includes three subsystems: image search display subsystem, image search subsystem, and product information collecting subsystem. …”
Get full text

Deep Binary Representation for Efficient Image Retrieval by Xuchao Lu, Li Song, Rong Xie, Xiaokang Yang, Wenjun Zhang

“…A good binary representation method for images is the determining factor of image retrieval. In this paper, we propose a new deep hashing method for efficient image retrieval. …”
Get full text

Image retrieval based on the feature of VLAD and sparse representation by Wen YAN, Wei JIN, Randi FU

Subjects: “…image retrieval…”
Get full text

Survey on the privacy-preserving content based image retrieval by Ying WU, Xuan LI, Biao JIN, Rongrong JIN

Subjects: Get full text

Large-scale duplicate image retrieval technical research for the internet by Shu-peng WANG, Ming CHEN, Guang-jun WU

“…For the typical social media application on the internet,a large-scale distributed duplicate image retrieval ap-proach based on random projection and the block DCT coefficients was proposed.On the basis of Hadoop,this approach exploited image signatures generated by random projection mapping to retrieve HBase efficiently.And candidate images with high-recall were achieved.Then in order to improve the retrieval precision,the block DCT coefficients were used to further filter candidate images.For 12 million images,experimental results showed that with our approach the recall ratio reached 98%,the precision ratio reached 93.2%,and the average retrieval time was 6.7s when H=2 and T=150.…”
Get full text

A Novel Optimization-Based Approach for Content-Based Image Retrieval by Manyu Xiao, Jianghu Lu, Gongnan Xie

“…Content-based image retrieval is nowadays one of the possible and promising solutions to manage image databases effectively. …”
Get full text

Cooperative Cloud-Edge Feature Extraction Architecture for Mobile Image Retrieval by Chao He, Gang Ma

“…Mobile image retrieval greatly facilitates our lives and works by providing various retrieval services. …”
Get full text

Validation of histopathology foundation models through whole slide image retrieval by Saghir Alfasly, Ghazal Alabtah, Sobhan Hemati, Krishna Rani Kalari, Joaquin J. Garcia, H. R. Tizhoosh

“…Abstract We evaluated several foundation models in histopathology for image retrieval using a zero-shot approach. These models generated embeddings that were directly employed for retrieval without additional fine-tuning. …”
Get full text

Multiscale Distance Coherence Vector Algorithm for Content-Based Image Retrieval by Zeng Jiexian, Liu Xiupeng, Fei Yu

“…Multiscale distance coherence vector algorithm for content-based image retrieval (CBIR) is proposed due to the same descriptor with different shapes and the shortcomings of antinoise performance of the distance coherence vector algorithm. …”
Get full text

Encrypted image retrieval in multi-key settings based on edge computing by Yingying LI, Jianfeng MA, Yinbin MIAO

“…Aiming at the fact that the existing encrypted image retrieval schemes do not consider different keys to encrypt images,a multi-key encrypted image retrieval system based on edge computing (including basic scheme and enhanced scheme) based on local sensitive hashing,secure nearest neighbor and proxy re-encryption technologies was proposed.The retrieval efficiency and accuracy were improved and the extra computational cost of query users was reduced.Security analysis shows that the basic scheme can only resist the known ciphertext attack,while the enhanced scheme can resist the known background attack.The experimental performance test based on the real-world dataset shows that the proposed schemes are feasible in practical application scenarios.…”
Get full text

Enhanced Image Retrieval Using Multiscale Deep Feature Fusion in Supervised Hashing by Amina Belalia, Kamel Belloulata, Adil Redaoui

Subjects: “…content-based image retrieval…”
Get full text

INRNet: Neighborhood Re-Ranking-Based Method for Pedestrian Text-Image Retrieval by Kehao Wang, Yuhui Wang, Lian Xue, Qifeng Li

Subjects: “…Pedestrian text-image retrieval…”
Get full text

Dual-branch autoencoder network for attacking deep hashing image retrieval models by Sizheng FU, Chunjie CAO, Zhiyuan LIU, Fangjian TAO, Jingzhang SUN

Subjects: Get full text

Dual Modality Reverse Reranking (DM-RR) Based Image Retrieval Framework by Ikhlaq Ahmed, Naima Iltaf, Rabia Latif, Nor Shahida Mohd Jamail, Zafran Khan

“…To facilitate interaction between the end-user and agent in such scenarios, a multimodal content-based image retrieval system is essential. The system extracts textual and visual attributes, combining them through inductive learning to a unified representation. …”
Get full text

Efficient and secure multi-user outsourced image retrieval scheme with access control by Fuyuan SONG, Zheng QIN, Jixin ZHANG, Yu LIU

Subjects: “…image retrieval…”
Get full text

Stochastic Optimized Relevance Feedback Particle Swarm Optimization for Content Based Image Retrieval by Muhammad Imran, Rathiah Hashim, Abd Khalid Noor Elaiza, Aun Irtaza

Get full text

Efficient privacy-preserving image retrieval scheme over outsourced data with multi-user by Xiangyu WANG, Jianfeng MA, Yinbin MIAO

Subjects: “…content-based image retrieval…”
Get full text

Pleasant/Unpleasant Filtering for Affective Image Retrieval Based on Cross-Correlation of EEG Features by Keranmu Xielifuguli, Akira Fujisawa, Yusuke Kusumoto, Kazuyuki Matsumoto, Kenji Kita

“…In this study, we propose a sensitivity filtering technique for discriminating preferences (pleasant/unpleasant) for images using a sensitivity image filtering system based on EEG. Using a set of images retrieved by similarity retrieval, we perform the sensitivity-based pleasant/unpleasant classification of images based on the affective features extracted from images with the maximum entropy method: MEM. …”
Get full text

Large Scale Near-Duplicate Celebrity Web Images Retrieval Using Visual and Textual Features by Fengcai Qiao, Cheng Wang, Xin Zhang, Hui Wang

“…Near-duplicate image retrieval is a classical research problem in computer vision toward many applications such as image annotation and content-based image retrieval. …”
Get full text