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Multimedia Search
{{Unreferenced, date=June 2019, bot=noref (GreenC bot) Multimedia search enables information search using queries in multiple data types including text and other multimedia formats. Multimedia search can be implemented through multimodal search interfaces, i.e., interfaces that allow to submit search queries not only as textual requests, but also through other media. We can distinguish two methodologies in multimedia search: *Metadata search: the search is made on the layers of metadata. * Query by example: The interaction consists in submitting a piece of information (e.g., a video, an image, or a piece of audio) at the purpose of finding similar multimedia items. Metadata search Search is made using the layers in metadata which contain information of the content of a multimedia file. Metadata search is easier, faster and effective because instead of working with complex material, such as an audio, a video or an image, it searches using text. There are three processes which shou ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Search Engine Technology
A search engine is an information retrieval software program that discovers, crawls, transforms and stores information for retrieval and presentation in response to user queries. A search engine normally consists of four components, that are search interface, crawler (also known as a spider or bot), indexer, and database. The crawler traverses a document collection, deconstructs document text, and assigns surrogates for storage in the search engine index. Online search engines store images, link data and metadata for the document as well. History of Search Technology The Memex The concept of hypertext and a memory extension originates from an article that was published in The Atlantic Monthly in July 1945 written by Vannevar Bush, titled As We May Think. Within this article Vannevar urged scientists to work together to help build a body of knowledge for all mankind. He then proposed the idea of a virtually limitless, fast, reliable, extensible, associative memory storage and ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Image Search
An image retrieval system is a computer system used for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, title or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation. Additionally, the increase in social web applications and the semantic web have inspired the development of several web-based image annotation tools. The first microcomputer-based image database retrieval system was developed at MIT, in the 1990s, by Banireddy Prasaad, Amar Gupta, Hoo-min Toong, and Stuart Madnick. A 2008 survey article documented progresses after 2007. All image retrieval systems as of 2021 were designed for 2D images, not 3D ones. Search met ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Video Search Engine
A video search engine is a web-based search engine which crawls the web for video content. Some video search engines parse externally hosted content while others allow content to be uploaded and hosted on their own servers. Some engines also allow users to search by video format type and by length of the clip. The video search results are usually accompanied by a thumbnail view of the video. Video search engines are computer programs designed to find videos stored on digital devices, either through Internet servers or in storage units from the same computer. These searches can be made through audiovisual indexing, which can extract information from audiovisual material and record it as metadata, which will be tracked by search engines. Utility The main use of these search engines is the increasing creation of audiovisual content and the need to manage it properly. The digitization of audiovisual archives and the establishment of the Internet, has led to large quantities of video ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Streaming Media
Streaming media is multimedia that is delivered and consumed in a continuous manner from a source, with little or no intermediate storage in network elements. ''Streaming'' refers to the delivery method of content, rather than the content itself. Distinguishing delivery method from the media applies specifically to telecommunications networks, as most of the traditional media delivery systems are either inherently ''streaming'' (e.g. radio, television) or inherently ''non-streaming'' (e.g. books, videotape, audio CDs). There are challenges with streaming content on the Internet. For example, users whose Internet connection lacks sufficient bandwidth may experience stops, lags, or poor buffering of the content, and users lacking compatible hardware or software systems may be unable to stream certain content. With the use of buffering of the content for just a few seconds in advance of playback, the quality can be much improved. Livestreaming is the real-time delivery of ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Multimedia
Multimedia is a form of communication that uses a combination of different content forms such as text, audio, images, animations, or video into a single interactive presentation, in contrast to traditional mass media, such as printed material or audio recordings, which features little to no interaction between users. Popular examples of multimedia include video podcasts, audio slideshows and animated videos. Multimedia also contains the principles and application of effective interactive communication such as the building blocks of software, hardware, and other technologies. Multimedia can be recorded for playback on computers, laptops, smartphones, and other electronic devices, either on demand or in real time (streaming). In the early years of multimedia, the term "rich media" was synonymous with interactive multimedia. Over time, hypermedia extensions brought multimedia to the World Wide Web. Terminology The term ''multimedia' ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
List Of Search Engines
Search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites have a search facility for online databases. By content/topic General † Main website is a portal Geographically localized Accountancy * IFACnet Business * Business.com * GenieKnows (United States and Canada) * GlobalSpec * Nexis (Lexis Nexis) * Thomasnet (United States) Computers * Shodan (website) Content * Openverse, search engine for open content. Dark web * Ahmia * Grams * TorSearch Education General: * Chegg * SkilledUp Academic materials only: * BASE (search engine) * ChemRefer * CiteULike * Google Scholar * Library of Congress * Semantic Scholar Enterprise *Apache Solr * Jumper 2.0: Universal search powered by Enterprise bookmarking * Oracle Corporation: Secure Enterprise Search 10g * Q-Sensei: Q-Sensei Enterprise * Swiftype: Swiftype Search * TeraText: TeraT ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Journal Of Multimedia
The ''Journal of Multimedia'' was a monthly peer-reviewed scientific journal published by Academy Publisher. It covered the study of multimedia algorithms and applications, information retrieval, artificial intelligence, multimedia compression, statistical inference, network theory, and other related topics. The editor-in-chief was Jiebo Luo (University of Rochester). Indexing and abstracting The journal was abstracted and indexed in EBSCO databases, Scopus, EI Compendex, INSPEC, PASCAL, and ProQuest ProQuest LLC is an Ann Arbor, Michigan-based global information-content and technology company, founded in 1938 as University Microfilms by Eugene B. Power. ProQuest is known for its applications and information services for libraries, provid .... External links * Computer science journals Monthly journals English-language journals Publications established in 2006 {{compu-journal-stub ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
SoundHound
SoundHound Inc. is an audio and speech recognition company founded in 2005. It develops speech recognition, natural language understanding, sound recognition and search technologies. Its featured products include Houndify, a Voice AI developer platform, Hound, a voice-enabled digital assistant, and music recognition mobile app SoundHound. The company’s headquarters are in Santa Clara, California. History The company was founded in 2005 by Keyvan Mohajer, an Iranian-Canadian computer scientist who had founded a number of dot com ventures before starting SoundHound. In 2009, the company's ''Midomi'' app was rebranded as SoundHound but is still available as a web version on midomi.com. In 2012, SoundHound announced it had over 100 million users globally. In 2014, SoundHound became the first music-search product available as a wearable. In 2015, SoundHound became the first music recognition service shipping in autos, in a partnership with Hyundai, in the new Genesis model. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Shazam (service)
Shazam is an application that can identify music, movies, advertising, and television shows, based on a short sample played and using the microphone on the device. It was created by London-based Shazam Entertainment, and has been owned by Apple Inc. since 2018. The software is available for Android, macOS, iOS, Wear OS, watchOS and as a Google Chrome extension. The original UK developer of the app, Shazam Entertainment Limited, was founded in 1999 by Chris Barton, Philip Inghelbrecht, Avery Wang, and Dhiraj Mukherjee. On September 24, 2018, the company was acquired by Apple for a reported $400 million. Overview Shazam identifies songs using an audio fingerprint based on a time-frequency graph called a spectrogram. It uses a smartphone or computer's built-in microphone to gather a brief sample of audio being played. Shazam stores a catalogue of audio fingerprints in a database. The user tags a song for 10 seconds and the application creates an audio fingerprint. Shazam wor ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Music Recognition
Music information retrieval (MIR) is the interdisciplinary science of retrieving information from music. MIR is a small but growing field of research with many real-world applications. Those involved in MIR may have a background in academic musicology, psychoacoustics, psychology, signal processing, informatics, machine learning, optical music recognition, computational intelligence or some combination of these. Applications MIR is being used by businesses and academics to categorize, manipulate and even create music. Music classification One of the classical MIR research topic is genre classification, which is categorizing music items into one of pre-defined genres such as classical, jazz, rock, etc. Mood classification, artist classification, instrument identification, and music tagging are also popular topics. Recommender systems Several recommender systems for music already exist, but surprisingly few are based upon MIR techniques, instead making use of similarity bet ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Google Voice Search
Google Voice Search or Search by Voice is a Google product that allows users to use Google Search by speaking on a mobile phone or computer, i.e. have the device search for data upon entering information on what to search into the device by speaking. Initially named as Voice Action which allowed one to give speech commands to an Android phone. Once only available for the U.S. English locale – commands were later recognizable and replied to in American, British, and Indian English; Filipino, French, Italian, German, and Spanish. In Android 4.1+ (Jelly Bean), it was merged with Google Now. In August 2014, a new feature was added to Google Voice Search, allowing users to choose up to five languages and the app will automatically understand the spoken language. Google Voice Search on Google.com On June 14, 2011, Google announced at its Inside Google Search event that it would start to roll out Voice Search on Google.com during the coming days.van Vliet, Wouter (Tue June 14, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Speech Recognition
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers with the main benefit of searchability. It is also known as automatic speech recognition (ASR), computer speech recognition or speech to text (STT). It incorporates knowledge and research in the computer science, linguistics and computer engineering fields. The reverse process is speech synthesis. Some speech recognition systems require "training" (also called "enrollment") where an individual speaker reads text or isolated vocabulary into the system. The system analyzes the person's specific voice and uses it to fine-tune the recognition of that person's speech, resulting in increased accuracy. Systems that do not use training are called "speaker-independent" systems. Systems that use training are called "speaker dependent". Speech recognition ap ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
