Concept
Multimedia information retrieval
Related publications (120)
From scattered sources to comprehensive technology landscape : A recommendation-based retrieval approach
Mapping the technology landscape is crucial for market actors to take informed investment decisions. However, given the large amount of data on the Web and its subsequent information overload, manually retrieving information is a seemingly ineffective and ...
ELSEVIER2023Stop Pre-Training: Adapt Visual-Language Models to Unseen Languages
Karl Aberer, Rémi Philippe Lebret, Negar Foroutan Eghlidi
Vision-Language Pre-training (VLP) has advanced the performance of many visionlanguage tasks, such as image-text retrieval, visual entailment, and visual reasoning. The pre-training mostly utilizes lexical databases and image queries in English. Previous w ...
Assoc Computational Linguistics-Acl2023Knowledge-Aware Cross-Modal Text-Image Retrieval for Remote Sensing Images
Devis Tuia, Christel Marie Tartini-Chappuis, Li Mi, Siran Li
Image-based retrieval in large Earth observation archives is difficult, because one needs to navigate across thousands of candidate matches only with the proposition image as a guide. By using text as a query language, the retrieval system gains in usabili ...
2022Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video Retrieval
Jie Luo, Yiyu Wang, Mengshi Qi
With the current exponential growth of video-based social networks, video retrieval using natural language is receiving ever-increasing attention. Most existing approaches tackle this task by extracting individual frame-level spatial features to represent ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval
Shaokai Ye, Yuan He, Hang Su, Jinfeng Li
We study the query-based attack against image retrieval to evaluate its robustness against adversarial examples under the black-box setting, where the adversary only has query access to the top-1 ranked unlabeled images from the database. Compared with que ...
IEEE COMPUTER SOC2021Deep Feature Factorization For Content-Based Image Retrieval And Localization
State of the art content-based image retrieval algorithms owe their excellent performance to the rich semantics encoded in the deep activations of a convolutional neural network. The difference between these algorithms lies mostly in how activations are co ...
IEEE2019Creating a neuroprosthesis for active tactile exploration of textures
Solaiman Shokur, Miguel Nicolelis
Intracortical microstimulation (ICMS) of the primary somatosensory cortex (S1) can produce percepts that mimic somatic sensation and, thus, has potential as an approach to sensorize prosthetic limbs. However, it is not known whether ICMS could recreate act ...
2019Texture-driven parametric snakes for semi-automatic image segmentation
Michaël Unser, Adrien Raphaël Depeursinge, Anaïs Laure Marie-Thérèse Badoual
We present a texture-driven parametric snake for semi-automatic segmentation of a single and closed structure in an image. We propose a new energy functional that combines intensity and texture information. The two types of image information are balanced u ...
ACADEMIC PRESS INC ELSEVIER SCIENCE2019Effort-driven Fact Checking
The Web constitutes a valuable source of information. In recent years, it fostered the construction of large-scale knowledge bases, such as Freebase, YAGO, and DBpedia, each storing millions of facts about society in general, and specific domains, such as ...
2019A Versatile Method for Ice Particle Habit Classification Using Airborne Imaging Probe Data
A versatile method to automatically classify ice particle habit from various airborne optical array probes is presented. The classification is achieved using a multinomial logistic regression model. For each airborne probe, the model determines the particl ...
AMER GEOPHYSICAL UNION2018