Search results
Results From The WOW.Com Content Network
A Multimedia database (MMDB) is a collection of related for multimedia data. [1] The multimedia data include one or more primary media data types such as text , images , graphic objects (including drawings , sketches and illustrations ) animation sequences, audio and video .
Multimedia information retrieval (MMIR or MIR) is a research discipline of computer science that aims at extracting semantic information from multimedia data sources. [1] [failed verification] Data sources include directly perceivable media such as audio, image and video, indirectly perceivable sources such as text, semantic descriptions, [2] biosignals as well as not perceivable sources such ...
Multimedia used to be saved on CD-ROMs, which could store roughly 700 MB of data, and floppy disks, which could only store 1.44 MB. Multimedia files are now easier to keep and retrieve because of the widespread usage of USB devices, cloud storage, and solid-state drives (SSDs), which provide significantly greater speed and space. [10]
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data pre-processing. [ 225 ] Big data is a buzzword and a "vague term", [ 226 ] [ 227 ] but at the same time an "obsession" [ 227 ] with entrepreneurs, consultants, scientists, and the media.
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
This page was last edited on 19 September 2023, at 11:34 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
Audio data indexing and retrieval began to receive attention and demand in the early 1990s, when multimedia content started to develop and the volume of audio content significantly increased. [2] Before audio mining became the mainstream method, written transcripts of audio content were created and manually analyzed.