Results 21 to 30 of about 823,289 (232)

Abductive retrieval for multimedia information seeking [PDF]

open access: yes, 2003
In this paper we discuss an approach to the retrieval of data annotated using the MPEG-7 multimedia description schema. In particular we describe a framework for the retrieval of annotated video samples that is based on principles from the area of ...
Ruthven, Ian   +2 more
core   +3 more sources

Evaluating Multimedia and Language Tasks

open access: yesFrontiers in Artificial Intelligence, 2020
Evaluating information access tasks, including textual and multimedia search, question answering, and understanding has been the core mission of NIST's Retrieval Group since 1989.
Ian Soboroff   +5 more
doaj   +1 more source

Intelligent design of network multimedia using big data and virtual Artificial Intelligence technology

open access: yesIET Networks, EarlyView., 2023
The topic discussed was the intelligent design of network multimedia using BD and virtual AI technology. First of all, the authors gave a brief overview of its relevant research background, and then comprehensively analysed the advantages and disadvantages of previous scholars' research on network multimedia.
Xin Zhang
wiley   +1 more source

Analysis on the Multimedia Information Retrieval Algorithm Based on Enterprise Correlation Financial Analysis under the Background of Big Data

open access: yesAdvances in Multimedia, 2023
At present, based on the background of the big data era, the operation of enterprises has a great impact, and relevance is a principle set to meet the needs of enterprise operation and management. In today’s digital and network era, multimedia has become
Jun Yan, Hui Liu
doaj   +1 more source

Using Discrete Wavelet Transform to Model Whistle Contours for Dolphin Species Classification

open access: yesProceedings, 2018
This work proposes the use of features based on the discrete wavelet transform (DWT) for dolphin species classification. These features are compared with other previously used in the literature, and the experiments carried out in a database featuring ...
Paula Lopez-Otero   +2 more
doaj   +1 more source

DeepDiffusion: Unsupervised Learning of Retrieval-Adapted Representations via Diffusion-Based Ranking on Latent Feature Manifold

open access: yesIEEE Access, 2022
Unsupervised learning of feature representations is a challenging yet important problem for analyzing a large collection of multimedia data that do not have semantic labels.
Takahiko Furuya, Ryutarou Ohbuchi
doaj   +1 more source

Introducing Multimedia Information Retrieval to libraries

open access: yesJLIS.it, 2016
The paper aims to introduce libraries to the view that operating within the terms of traditional Information Retrieval (IR), only through textual language, is limitative, and that considering broader criteria, as those of Multimedia Information ...
Roberto Raieli
doaj   +9 more sources

Visual Sentiment Analysis from Disaster Images in Social Media

open access: yesSensors, 2022
The increasing popularity of social networks and users’ tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content have opened new opportunities and challenges in sentiment analysis.
Syed Zohaib Hassan   +6 more
doaj   +1 more source

Survey of Research Progress on Cross-modal Retrieval [PDF]

open access: yesJisuanji kexue, 2021
With the explosive growth of multimedia data on the Internet,single-modal retrieval has been unable to meet the needs of users,and cross-modal retrieval has emerged.Cross-modal retrieval aims to retrieve related data of one modality with data of another ...
FENG Xia, HU Zhi-yi, LIU Cai-hua
doaj   +1 more source

ENHANCED AI BASED FEATURE EXTRACTION TECHNIQUE IN MULTIMEDIA IMAGE RETRIEVAL [PDF]

open access: yesICTACT Journal on Image and Video Processing, 2023
In the era of rapid technological advancements, the demand for efficient and accurate identification and retrieval of information from multimedia images has seen a substantial increase.
R. Gayathri   +3 more
doaj   +1 more source

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