Overview of the MPEG-7 standard
By Shih-Fu Chang, Thomas Sikora, Atul Puri. IEEE Trans. Circuits Syst. Video Technol., 2001
818 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/536989f018d40b54669ef873ac7e871f35a5c90d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Justin Salamon
- Juan Pablo Bello
- Jong Wook Kim
- Rachel M. Bittner
- Brian McFee
- Thomas Sikora
- Mark Brozier Cartwright
- Bryan Pardo
In Information Systems
In Signal Processing
- Justin Salamon
- Juan Pablo Bello
- Mark Brozier Cartwright
- Jong Wook Kim
- Brian McFee
- Rachel M. Bittner
- Thomas Sikora
- Eduardo Fonseca
Citations in the corpus
- Open-Source Practices for Music Signal Processing Research: Recommendations for Transparent, Sustainable, and Reproducible Audio Research (2019, methodology): “Although several formats have been proposed for encoding annotations and metadata (MusicXML [12], MEI [13], MPEG-7 [14], JAMS [15]), at this point none have emerged as a clear standard within the MIR community.”
- 3D Model Retrieval (2001, neutral): “1 { vranic | saupe }@informatik.uni-leipzig.de Keywords: 3D model, retrieval, triangle mesh, feature extraction, feature description, MPEG-7, content-based, similarity-based search.”
- The MPEG-7 visual standard for content description-an overview (2001, methodology): “For an overall overview of the MPEG-7 Standard, more detailed descriptions of MPEG-7 content-based visual, audio and speech descriptors, the reader is referred to the literature in [2], [ 3 ] and to the remaining papers of this Special Issue on MPEG-7 in [5]‐[12].”
- Adding Multimedia to the Semantic Web: Building an MPEG-7 ontology (2001, background): “The goal of MPEG-7 [1] is to support such requirements by providing a rich set of standardized tools to enable the generation of audiovisual descriptions which can be understood by machines as well as humans and to enable fast efficient retrieval from digital archives (pull applications) as well as…”
- Lire: lucene image retrieval: an extensible java CBIR library (2008, neutral): “MPEG-7 descriptors scalable color, color layout and edge histogram, see [1].”