Automatic Detection of Logos in Video and Their Removal Using Inpainting

Abstract

In this paper, we propose an algorithm that automatically detects and removes moving logos in video. The proposed algorithm consists of logo detection, tracking and extraction, and removal. In the logo detection step, we automatically detect moving logos using the saliency map and the scale invariant feature transform. In the logo tracking and extraction step, an improved mean shift tracking method and backward tracking technique are used in which only logo regions are extracted by using color information. Finally, in the logo removal step, the detected logo region is filled with the region of neighborhood using an exemplar-based inpainting that can fill a large detected region without artifacts. These steps are effectively interconnected using control flags. Experimental results with various test sequences show that the proposed algorithm is effective to detect, track, and remove moving logos in video.

Remove Logos from Video Using Linear and Fast Fourier Interpolation Methods

“…In [10] proposed inpainting method, the process of filling depend on patch instead of pixel, the patch was determined manually and then matching with other patch in images and the best patch was chosen to process of filling. Recently In [11] proposed completion method depend on exemplar search by in an algorithm to detected logo, by using map (a high-pass filter), and sift (scale invariant feature transform that), then Tracking and Extraction by us mean shift and backward tracking for removing logo and then completion. "…”