A systematic literature review on multimodal machine learning: Applications, challenges, gaps and future directions
Multimodal machine learning (MML) is a tempting multidisciplinary research area where
heterogeneous data from multiple modalities and machine learning (ML) are combined to …
heterogeneous data from multiple modalities and machine learning (ML) are combined to …
Gaia: A fine-grained multimedia knowledge extraction system
We present the first comprehensive, open source multimedia knowledge extraction system
that takes a massive stream of unstructured, heterogeneous multimedia data from various …
that takes a massive stream of unstructured, heterogeneous multimedia data from various …
Resin: A dockerized schema-guided cross-document cross-lingual cross-media information extraction and event tracking system
We present a new information extraction system that can automatically construct temporal
event graphs from a collection of news documents from multiple sources, multiple languages …
event graphs from a collection of news documents from multiple sources, multiple languages …
MIRRE approach: nonlinear and multimodal exploration of MIR aggregated search results
Nowadays, web users frequently explore multimedia contents to satisfy their information
needs. The exploration approaches usually provide linear interaction mechanisms and do …
needs. The exploration approaches usually provide linear interaction mechanisms and do …
Content-based video retrieval using integration of curvelet transform and simple linear iterative clustering
Video is a rich information source containing both audio and visual information along with
motion information embedded in it. Applications such as e-learning, live TV, video on …
motion information embedded in it. Applications such as e-learning, live TV, video on …
Semantic deep learning and adaptive clustering for handling multimodal multimedia information retrieval
Multimedia data encompasses various modalities, including audio, visual, and text,
necessitating the development of robust retrieval methods capable of harnessing these …
necessitating the development of robust retrieval methods capable of harnessing these …
Efficient and effective multi-modal queries through heterogeneous network embedding
The heterogeneity of today's Web sources requires information retrieval (IR) systems to
handle multi-modal queries. Such queries define a user's information needs by different data …
handle multi-modal queries. Such queries define a user's information needs by different data …
Graph embeddings for one-pass processing of heterogeneous queries
Effective information retrieval (IR) relies on the ability to comprehensively capture a user's
information needs. Traditional IR systems are limited to homogeneous queries that define …
information needs. Traditional IR systems are limited to homogeneous queries that define …
Content based video retrieval using histogram of gradients and frame fusion
In the present article, we present an algorithm of content based video retrieval using Frame
fusion and Histogram of Oriented Gradients (HOG). Representative frames of database …
fusion and Histogram of Oriented Gradients (HOG). Representative frames of database …
Examining the effectiveness of compensatory adaptation from a consumer's perspective in evaluating products online
Purpose Consumers often encounter issues of perceived ambiguity and performance risk
when attempting to evaluate experience goods being offered online. Sellers try to alleviate …
when attempting to evaluate experience goods being offered online. Sellers try to alleviate …