Explain the categories of multimedia data mining.

-

 CATEGORIES OF MULTIMEDIA DATA MINING

 Multimedia data mining is classified into two broad categories as static media and dynamic media. Static media contains text (digital library, creating SMS and MMS) and images (photos and medical images). Dynamic media contains Audio (music and MP3 sounds) and Video (movies). Multimedia mining refers to the analysis of a large amount of multimedia information in order to extract patterns based on their statistical relationships. Figure 1 shows the categories of multimedia data mining. 



Text mining
 Text Mining also referred to as text data mining and it is used to find meaningful information
from the unstructured texts that are from various sources. Text is the foremost general medium
for the proper exchange of information. Text Mining is to evaluate a huge amount of usual
language text and it detects exact patterns to find useful information.

Image mining
Image mining systems can discover meaningful information or image patterns from a huge
collection of images. Image mining determines how low-level pixel representation consists of a
raw image or image sequence can be handled to recognize high-level spatial objects and
relationships. It includes digital image processing, image understanding, database, AI, and so
on. 

Video Mining
Video mining is unsubstantiated to find the interesting patterns from a large amount of video data;
multimedia data is video data such as text, image, and metadata, visual and audio. The processing
is indexing, automatic segmentation, content-based retrieval, classification, and detecting
triggers. It is commonly used in various applications like security and surveillance, entertainment, medicine, sports, and education programs .

Audio mining
Audio mining plays an important role in multimedia applications, is a technique by which the
content of an audio signal can be automatically searched, analyzed, and rotten with wavelet
transformation. Band energy, frequency centroid, zero-crossing rate, pitch period and band-width
are often used features for audio processing . It is generally used in the field of automatic
speech recognition, where the analysis efforts to find any speech within the audio

Comments

Post a Comment

Popular posts from this blog

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

-
Image
a) A Snowflake Shema is shown in figure below: b) The specific OLAP operations to be performed: 1. Roll-up on course from course_id to department. 2. Roll-up on a student from student_id to university. 3. Dice on course, student with department ="CS" and university = "biguniversity" 4. Drill-down on a student from the university to student_name. c) N = 4 dimensions The cube will contain 54 = 625 cuboids.
Read more

Describe how cloud computing technology can be applied to support remote ECG monitoring.

-
Image
  Healthcare: ECG (Electrocardiogram) Analysis in cloud computing Healthcare is a field, subject, sector, or territory in which information technology has several uses. These apps are being used to aid businesses in supporting scientists in developing disease prevention solutions. Cloud computing has emerged as an appealing alternative for constructing health monitoring systems as a result of the development of the Internet or to put it another way, as a result of the availability of the internet. The ECG machine, for example, is a health monitoring device that measures the human body's heartbeat and prints the results on graph paper. The electrocardiogram (ECG) measures the electrical activity of the heart's Cardium. A waveform is created as a result of this action, which is repeated throughout time and symbolizes the heartbeat.  The analysis of the shape is used to identify arrhythmias, and it is the most common way of detecting heart diseases. Here the meaning of arrhythmias
Read more

Explain market-Oriented Cloud computing architecture.

-
Image
  Market Oriented Cloud Computing (Mocc) As customers rely on Cloud providers to cover all of their computing needs, they will expect certain Qe from their providers to fulfill their objectives and continue their operations. Cloud providers must examine and satisfy the various QoS standards of each unique consumer as stipulated in unique SLAs. To do this, cloud providers cannot continue to install traditional system-centric resource management architectures that do not give incentives for them to share their resources while still treating all service requests as equal insignificance. Instead, market-oriented resource management is required to maintain the supply and demand for Cloud resources at market equilibrium, provide feedback in the form of economic incentives for both Cloud consumers and providers, and promote QoS-based resource allocation mechanisms that differentiate service requests based on their utility. The diagram depicts a high-level architecture for enabling market-orie
Read more