Video Sequence Matching Based on the Invariance of Color Correlation


Video sequence matching aims to locate a query video clip in a video database. It plays an necessary role in reducing storage redundancy and detecting video copies for copyright protection. In this paper, we tend to propose an effective technique for video sequence matching based mostly on the invariance of color correlation. The proposed technique 1st splits each key-frame into nonoverlapping blocks. For each block, we sort the red, inexperienced, and blue color parts consistent with their average intensities, and use the proportion of the color correlation to generate a frame feature with a tiny size. Finally, the ensuing video feature is created from the consecutive frame options, that is demonstrated to be sturdy against most common video content-preserving operations, together with geometric distortion, blurring, noise contamination, contrast enhancement, and robust re-encoding. The experimental results show that the proposed methodology outperforms the present strategies within the literature, furthermore the tactic based on the ancient color histogram. Furthermore, the time and space complexity of our algorithm are each satisfactory, that are terribly vital for many real-time applications.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE :Exploring Weakly Labeled Images for Video Object Segmentation With Submodular Proposal Selection - 2018ABSTRACT:Video object segmentation (VOS) is important for numerous computer vision issues, and handling it
PROJECT TITLE :Blind Stereoscopic Video Quality Assessment From Depth Perception to Overall Experience - 2018ABSTRACT:Stereoscopic video quality assessment (SVQA) may be a challenging drawback. It has not been well investigated
PROJECT TITLE :Joint Carrier Matching and Power Allocation for Wireless Video with General Distortion Measure - 2018ABSTRACT:In this Project, we gift a cross-layer style for a family of OFDM-primarily based video communications
PROJECT TITLE :CLEVER: A Cooperative and Cross-Layer Approach to Video Streaming in HetNets - 2018ABSTRACT:We tend to investigate the matter of providing a video streaming service to mobile users in an heterogeneous cellular network
PROJECT TITLE :A Scalable Approximate DCT Architectures For Efficient HEVC Compliant Video Coding - 2017ABSTRACT:An approximate kernel for the discrete cosine remodel (DCT) of length 4 is derived from the 4-point DCT defined by

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry