Comparison of feature-based and image registration-based retrieval of image data using multidimensional data access methods

Arslan, Serdar; Yazıcı, Adnan; Saçan, Ahmet; Toroslu, İsmail Hakkı; Acar, Esra

doi:10.1016/j.datak.2013.01.007

Cited by 7 publications

(1 citation statement)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To prepare an appropriate configuration for testing the query retrieval performance, we integrate various modules proposed in Refs. . This integrated system provides an automatic annotation of various modalities of a video (visual, audio, and text) and supports various types of queries.…”

Section: Video Data Modelmentioning

confidence: 99%

Multimodal query-level fusion for efficient multimedia information retrieval

Sattari

Yazıcı

2018

Int. J. Intell. Syst.

View full text Add to dashboard Cite

Managing a large volume of multimedia data containing various modalities such as visual, audio, and text reveals the necessity for efficient methods for modeling, processing, storing, and retrieving complex data. In this paper, we propose a fusion‐based approach at the query level to improve query retrieval performance of multimedia data. We discuss various flexible query types including the combination of content as well as concept‐based queries that provide users with the ability to efficiently perform multimodal querying. We have carried out a number of experiments on a video database to show the efficiency of our approach for various types of queries. Our experimental results show that our query‐level fusion approach presents a notable improvement in retrieval performance especially for the concept‐based queries.

show abstract

Section: Video Data Modelmentioning

confidence: 99%