Video Search .

• Video Search

https://store.theartofservice.com/the-video-search-toolkit.html

Video search

1 A 'video search engine' is a web-based search engine which Web crawler|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. Search results are usually accompanied by

a thumbnail view of the video.


Video search

1 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.


Video search - Utility

1 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 files stored in big databases, whose recovery can be very difficult

because of the huge volumes of data and the existence of a semantic gap.


Video search - Search criterion

1 The search criterion used by each search engine depends on its nature and purpose of

the searches.


Video search - Metadata

1 Metadata is information about facts. It could be information about who is the author of the video, creation date, duration, and all the information you would like to extract and include in the same files. Internet is often used in a language called XML to

encode metadata, which works very well through the web and is readable by people. Thus, through this information contained in these files is the easiest way to find data of

interest to us.https://store.theartofservice.com/the-video-search-toolkit.html

Video search - Internal metadata

1 All video formats incorporate their own metadata. The title, description, coding quality or transcription of the content are possible. To review these

data exist programs like FLV MetaData Injector, Sorenson Squeeze

or Castfire. Each one has some utilities and special specifications.


Video search - Internal metadata

1 Keep in mind that converting from one format to another can lose much of this data, so check that the new format information is correct. It is

therefore advisable to have the video in lots of formats, so that all search robots will be able to find and index.


Video search - External metadata

1 In most cases you must apply the same mechanisms as in the positioning of an image

or text content.


Video search - Title and Description

1 They are the most important factors when positioning a video, because

there you will find most of the necessary information. The titles have to be clearly descriptive and should be removed every word or

phrase that is not useful.


Video search - Filename

1 It should be descriptive, including keywords that describe the video with no need to see their title or description. Ideally, separate the

words by dashes -.


Video search - Tags

1 On the page where the video is, it should be a list of keywords linked to the microformat rel-tag. These words will be used by search engines as a

basis for organizing information.


Video search - Transcription and subtitles

1 Although not completely standard, there are two formats that store

information in a temporal component that is specified, one for subtitles and

another for transcripts, which can also be used for subtitles.


Video search - Transcription and subtitles

1 The formats are SRT or SUB for subtitles and TTXT for transcripts. To

manage this type of formats it is interesting to use MP4Box program with which you can get this kind of

files and formats.


Video search - Speech Recognition

1 Speech recognition consists of a transcript of the speech of the audio track of the videos, creating a text

file. In this way and with the help of a phrase extractor can easily search if the video content is of our interest.


Video search - Speech Recognition

1 Some search engines apart from using speech recognition to search

for videos, also use it to find the specific point of a multimedia file in

which you cite a specific word or phrase and so go directly to this

point


Video search - Text Recognition

1 The text recognition can be very useful to recognize characters in the

videos through chyrons. As with speech recognizers, there are search engines that allow, through character

recognition, to play a video from a particular point where you see the

word you want.


Video search - Text Recognition

1 [http://talkminer.com/ TalkMiner], an example of search of specific fragments from videos by text

recognition, analyzes each video once per second looking for indetifier signs of a slide, such as its shape and static nature, captures the image of the slide and uses Optical Character

Recognition (OCR) to detect the words on the slides


Video search - Frame Analysis

1 Through the visual descriptors we can analyze the frames of a video

and extract information that can be scored as metadata. Descriptions are

generated automatically and can describe different aspects of the

frames, such as color, texture, shape, motion, and the situation.


Video search - Ranking criterion

1 The usefulness of a search engine depends on the relevance of the

result set returned. While there may be millions of videos that include a

particular word or phrase, some videos may be more relevant,

popular or have more authority than others. This arrangement has a lot to do with search engine optimization.


Video search - Ranking criterion

1 Most search engines use different methods to classify the results and provide the best video in the first results. However, most programs allow you to sort the results by

several criteria.


Video search - Order by relevance

1 This criterion is more ambiguous and less objective, but sometimes it is

the closest to what we want; depends entirely on the searcher and

the algorithm that the owner has chosen


Video search - Order by date of upload

1 This is a criterion based totally on the timeline where you can sort the

results according to their seniority in the repository.


Video search - Order by number of views

1 It can give us an idea of the popularity of each

video.


Video search - Order by user rating

1 It is common practice in repositories let the users rate the videos, so that a content of quality and relevance will have a high rank on the list of

results gaining visibility. This practice is closely related to virtual

communities.


Video search - Interfaces

1 We can distinguish two basic types of interfaces, some are web pages

hosted on servers which are accessed by Internet and searched

through the network, and the others are computer programs that search

within a private network.


Video search - Internet

1 Within Internet interfaces we can find repositories that host video files

which incorporate a search engine that searches only their own

databases, and video searchers without repository that search in

sources of external software.


Video search - Repositories with video searcher

1 Provides accommodation in video files stored on its servers and usually has an integrated search engine that searches through videos uploaded by

its users. One of the first web repositories, or at least the most famous are the portals Vimeo,

Dailymotion and YouTube.


Video search - Repositories with video searcher

1 Their searches are often based on reading the metadata tags, titles and descriptions

that users assign to their videos. The disposal and order criterion of the results of these

searches are usually selectable between the file upload date, the number of viewings or what they call the relevance. Still, sorting

criterion are nowadays the main weapon of these websites, because in terms of

promotion is very important the positioning that they can give to your video.


Video search - Video searchers repositories

1 They are websites specialized in searching videos across the network or certain pre-selected repositories.

They work by web spiders that inspect the network in an automated

way to create copies of the visited websites, which will then be indexed

by search engines, so they can provide faster searches.


Video search - Private Network

1 You can also find the case where a search engine only searches in audiovisual files stored within a computer or, as it happens in

televisions, on a private server where users access through a local area

network


Video search - Private Network

1 This particular suite and perhaps in its strongest point is that it

integrates the entire process of creating, indexing, storing,

searching, editing, and a recovery


Video search - Design and algorithms

1 Video search has evolved slowly through several basic search formats

which exist today and all use keywords. The keywords for each

search can be found in the title of the media, any text attached to the

media and content linked web pages, also defined by authors and users of

video hosted resources.



1 Some video search is performed using human powered search, others

create technological systems that work automatically to detect what is in the video and match the searchers needs. Many efforts to improve video

search including both human powered search as well as writing algorithm that recognize what's

inside the video have meant complete redevelopment of search

efforts.



1 It is generally acknowledged that speech to text is possible, though recently Thomas

Wilde, the new CEO of Everyzing, acknowledged that Everyzing works 70% of the time when there is music, ambient noise

or more than one person speaking. If newscast style speaking (one person, speaking clearly, no ambient noise) is

available, that can rise to 93%. (From the Web Video Summit, San Jose, CA, June 27,

2007).https://store.theartofservice.com/the-video-search-toolkit.html


1 Around 40 phonemes exist in every language with about 400 in all spoken languages



1 It is generally acknowledged that visual search into video does not work well and

that no company is using it publicly. Researchers at UC San Diego and Carnegie

Mellon University have been working on the visual search problem for more than 15 years, and admitted at a Future of Search conference at UC Berkeley in the Spring of

2007 that it was years away from being viable even in simple search.


Video search - Agnostic search

1 Search that is not affected by the hosting of video, where results are agnostic no matter where the video

is located:



1 *[http://www.clipul.com 'Clipul'] searches for popular and trendy videos from various sources all

around the internet since 2009, when it was established by independent

developers.



1 * 'blinkx' was launched in 2004 and uses speech recognition and visual analysis to process spidered video

rather than rely on metadata alone. blinkx claims to have the largest

archive of video on the web and puts its collection at around 26,000,000

hours of content.



1 * 'CastTV' is a Web-wide video search engine that was founded in 2006 and

funded by Draper Fisher Jurvetson, Ron Conway, and Marc Andreessen.



1 * 'Munax' released their first version all-content search engine in 2005 and powers both nation-wide and

worldwide search engines with video search.



1 * 'Picsearch Video Search' has been licensed to search portals since

2006. Picsearch is a search technology provider who powers

image, video and audio search for over 100 major search engines

around the world.



1 * 'ScienceStage' is an integrated universal search engine for science-

oriented video (lectures, conferences, documentaries,

webinars, tutorials, demonstrations, grand rounds, etc.). All videos are

also semantically matched to millions of research documents from open-

access databases.



1 * 'yovisto' is an academic video search engine for lecture recordings and scientific conference talks based

on speech processing, Optical character recognition|OCR, and user

annotation.



1 *[http://www.thinkglue.com 'Thinkglue'] is a semantic video

engine launched in 2014 using a mix of data mining on speech, images

and text and semantic data correlation to improve indexing

accuracy.


Video search - Non-agnostic search

1 Search results are modified, or suspect, due to the large hosted video being given preferential treatment in search results:



1 * 'AOL Video' offers a leading video search engine that can be used to find video located on popular video

destinations across the web. In December 2005, AOL acquired

Truveo Video Search.



1 * 'Google Videos' is a popular video search engine which used to permit

its visitors to upload videos. It searches YouTube and many other

video hosting sites.



1 * 'Yahoo! Video Search' Yahoo!'s search engine examines video files on the internet using its Media RSS standard. Is found on a direct link

called Video off the main page above the text block.


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Video Search .

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