Home| Join Now | Sign In | Trainers Login              
SPIRO, Spiro, project for student, student projects

A UNIT OF SPIRO GROUP OF COMPANIES

A RESEARCH & DEVELOPMENT ORGANIZATION
To Search
Last Live Projects with video description
VLSI Projects, Student Projects, Best Projects, College Projects Matlab Projects, vlsi projects Final Year Projects in Chennai , Final Year Training Projects in Chennai
Slideshow Image 1
Learning Consistent Feature Representation for Cross Modal Multimedia Retrieval
Post Your concept Get Project
Guidance
It is purposely dedicated for innovative students. Here we encourage students who have new concepts and projects in various domains.

For Project Title


Project Zone > Software > Multimedia

Social share: Facebook SPIRO Google Plus

Learning Consistent Feature Representation for Cross - Modal Multimedia Retrieval

Category : Multimedia


Sub Category : JAVA


Project Code : ITJMM03


Project Abstract

Learning Consistent Feature Representation for

Cross-Modal Multimedia Retrieval

 

ABSTRACT

 

In the proposed formulation, the basis matrices of different modalities are jointly learned based on the training samples. Moreover, a local group-based priori is proposed in the formulation to make a better use of popular block based features (e.g., HOG and GIST). Extensive experiments are conducted on four public databases: Pascal VOC2007, LabelMe, Wikipedia, and NUS-WIDE. We also evaluated the proposed algorithm with unpaired data. By comparing with existing state-of-the-art algorithms, the results show that the proposed algorithm is more robust.

EXISTING SYSTEM

   PROPOSED SYSTEM

EXISTING SYSTEM:-

The existing methods try to learn a common latent subspace, where the heterogeneity between two modalities is minimized so that cross-matching is possible.

However, most of these methods require fully paired samples and suffer difficulties when dealing with unpaired data.

PROPOSED SYSTEM:-

We also evaluated the proposed algorithm with unpaired data. By comparing with existing state-of-the-art algorithms the results show that the proposed algorithm is more robust and achieves the best performance.

If the similarities between the images and documents can be computed directly, the computed similarity scores can be used to rank the retrieved results.

EXISTING ALGORITHM :-

Canonical Correlation Analysis (CCA) Algorithm.

PROPOSED ALGORITHM :-

Multiview Discriminant Analysis Algorithm (MvDA).

ALGORITHM   DEFINITION:-

It aims at learning a latent space by maximizing the correlating relationships between two modality features.

It has been widely used for multimodal problems.

ALGORITHM DEFINITION:-

The most important reason is that the dimensionality of MvDA’s target feature space is the sum of the different modality features’ dimensions.

The proposed algorithm just needs about 10 ms for processing 1000 test samples, which is the fastest algorithm compared to the others.

DRAWBACKS:-

To solve optimally due to its high computational complexity, we propose a distributed and heuristic algorithm called D-vMDG.

No top retrieval images retrieved.

ADVANTAGES:-

An energy-efficient routing protocol based on dynamic programming is proposed for the constructed topology.

Top images will be retrieved by giving query.

 
 
MILE STONES
GUARANTEES
CONTACT US
 
Training and Developemet, Engg Projects
So far we have provided R&D training for more than 1,00,000 engineering Students.
Latest Projects 2012, Latest Technologiy Project
Had conducted seminars in the recent trends of technology at various colleges.
Our research projects had been presented in various National & International Conferences.
Most of our projects were identified by the industries as suitable for their needs.
Our n-number of students got research scholarship to extend our assisted projects for further development.
   
   
Training and Developemt, Project Development in Chennai
SPIRO guarantees small class sizes.
Final Year Projects
SPIRO guarantees quality instructors.
Student Projects, Stupros
SPIRO guarantees competence.
Projects, student projects
SPIRO guarantees that training from SPIRO will be more cost-effective than training from any other source.
Final Year Projects, Projects, student projects
SPIRO guarantees that students in open-enrollment classes are protected against cancellations and will be able to receive desired training at the cost they expect and in the time frame they have planned.
Projects for student
SPIRO guarantees overall quality with a 100% money-back guarantee. If you're not totally satisfied for any reason, simply withdraw before the second day of any class. Notify the instructor and return all course materials and you will receive a 100% refund.
SPIRO SOLUTIONS PRIVATE LIMITED
For ECE,EEE,E&I, E&C & Mechanical,Civil, Bio-Medical
#1, C.V.R Complex, Singaravelu St, T.Nagar, Chennai - 17,
(Behind BIG BAZAAR)Tamilnadu,India
Mobile : +91-9962 067 067, +91-9176 499 499
Landline : 044-4264 1213
Email: info@spiroprojects.com

For IT, CSE, MSC, MCA, BSC(CS)B.COM(cs)
#78, 3rd Floor, Usman Road, T.Nagar, Chennai-17.
(Upstair Hotel Saravana Bhavan) Tamilnadu,India
Mobile: +91-9791 044 044, +91-9176 644 044
E-Mail: info1@spiroprojects.com
About Us | Project Training | Privacy policy | Disclaimer | Contact Us

Copyright © 2015-2016 Stupros All rights reserved.