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64 114 (0,169s)

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Multi-modal image search for large-scale applications

One of the major challenges of data processing is the efficient multi-modal searching in large collections of complex data objects. In this paper, we present first results of a complex study that focuses on a comparison of various <...

IN - Informatika

  • 2012
  • D
Result

Multi-modal Person Identification

. These retrieved sets are processed by a multi-modal classification method to recognizeMulti-modal Person Identification (MMPI) is a software technology for multi-modal recognition of pe...

IN - Informatika

  • 2015
  • R
  • Link
Result

Multi-modal Image Retrieval for Search-based Image Annotation with RF

for the retrieval of related annotated images that are subsequently used for mining of candidate keywords. We select three multi-modal search techniques that can be applied to users who need to annotate images...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Fusion Strategies for Large-Scale Multi-modal Image Retrieval

. In this work, we focus on the practical applicability of different multi-modal retrieval techniques. Multi-modal searching, which combines several complementary views on complexLarge-scale data managemen...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2017
  • D
  • Link
Result

WISMIR3 A Multi-Modal Dataset to Challenge Text-Image Retrieval Approaches

This paper presents WISMIR3, a multi-modal dataset comprising roughly 300K text-image pairs from Wikipedia. With a sophisticated automatic ETL pipeline, we scraped-of-the-art text-image retrieval approache...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Linguistic Unit Discovery from Multi-Modal Inputs in Unwritten Languages: Summary of the 'Speaking Rosetta' JSALT 2017 Workshop

We summarize the accomplishments of a multi-disciplinary workshop exploring the computational and scientific issues surrounding the discovery of linguistic units (subwords and words) in a language without orthography. We study the replacemen...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2018
  • D
  • Link
Result

Heimatkunde: Dataset for Multi-Modal Historical Document Analysis

on multi-modality. The dataset is openly accessiblefor research purposes. The study Transformers are proposedfor multi-modal classification. Experimental findings reveal weights. Moreover, the research demonstrate...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Link
Result

Inherent Fusion: Towards Scalable Multi-Modal Similarity Search

retrieval approach, which is able to organize such data by exploiting the similarity that combines the efficiency of fast indexed retrieval with the effectiveness of ranking......

IN - Informatika

  • 2016
  • Jx
  • Link
Result

Enhanced VIRET Tool for Lifelog Data

modalities like time, biometric data, and GPS locations. The interface and models for content-based retrieval in image sequences are the same as for the Video Browser Showdown 2019. Hence, the performance of temporal m...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2019
  • D
  • Link
Result

Video–text retrieval via multi-modal masked transformer and adaptive attribute-aware graph convolutional network

, we introduce an end-to-end video–text retrieval framework which exploit Multi are fed into M 3 Trans to jointly integrate the multi-modal content and mask irrelevant multi-modal context. Subsequ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • JSC
  • Link
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