content based image retrieval and video indexing is totally depend on contents.
Contents are basically shape, color. Relative to this video feature application
this system can be developed such as fingerprint identification, cctv videos,
digital video libraries. If we consider the further development, it can be
helpful which contains very large databases.
Image search engines are ordinarily used like Google, Bing and other
search engines. It takes as input as a text if we further develop by using
image retrieval system then we can take image as an input. The searching and browsing large archives in
digital libraries there are several digital libraries that support services
based on image content. The indexing of images and videos on the content basis
results an easy retrieval of images and video data from a collection of diverse
data. If user is having one snap shot of movie and he doesn’t know the name of
the movie so he can just provide snapshot of movie as input query and retrieve
the required video from digital libraries.
overview and access the user can also play the video from particular scene
provided that user is having snap shots of movie. Indexing and archiving
multimedia presentations can reduce the storage space by indexing the video.
The video is stored as a set of frames. The frames with big change in scene get
store and similar frames get removed. For security purpose finger print scanner
technique is used in many current applications which is having large image
databases. If we want to search image by using image, then this retrieval
system is very useful because we cannot use as text for finger print detection.
Same as finger print we can develop this system for face detection system. In
crime detection it is developed so it can detect face of criminal which was
having find at any CCTV video records.
Not only in search engines domains Content Based Video Indexing and
Image Retrieval system is used but also helpful in medical applications the use
of it give more powerful result in powerful services that can be useful in
biomedical information systems. Three large fields can instantly take advantage
of CBVIIR techniques are education, investigation, and diagnostics. From the
education perspective, examining tools can be used to find important cases to
present to students. Investigation also can be boosted by using services
conjoining image content information with various types of data. For example,
researchers can use excavating tools to discover unfamiliar designs among
textual and image content data. Similarity queries based on image content
descriptors can also help the diagnostic process because it contains images,
and which are comparatively studied by Clinicians. Usually use analogous cases
for case-based cerebral in their clinical executive development.
of Biodiversity Information Systems gather different kinds of data for biodiversity
studies, including spatial data and images of living beings. Biodiversity
Information Systems (BIS) should help researchers to develop and accepting
about species and their habitations by combining textual, image content-based,
and geographical requests. This system can be further extended from LAN or Web
for a greater scope and use. We can use different images stored on different
machines which are connected in LAN. Images can be retrieved which are stored
on different machines. This technique is color histogram analysis with
consideration of intensity factor. Furthermore, we are intended of Combining
this current technique with Edge based detection technique so that, it can be
used for various purposes like face detection, finger-print recognition, crime
prevention, and several medical applications also. Supplementary modules can be
added to include text and audio content in the video as well. It can be used in
Intrusion Detection System in the security field by detecting changes in the
consecutive frames by use of Boundary Analysis Technique.