most citedA Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain

3 citations · 4 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV20203 cited

A Quick Review on Recent Trends in 3D Point Cloud Data Compression Techniques and the Challenges of Direct Processing in 3D Compressed Domain

Mohammed Javed, MD Meraz, Pavan Chakraborty

Automatic processing of 3D Point Cloud data for object detection, tracking and segmentation is the latest trending research in the field of AI and Data Science, which is specifical…

cs.CV20201 cited

Automatic Page Segmentation Without Decompressing the Run-Length Compressed Text Documents

Mohammed Javed, P. Nagabhushan

Page segmentation is considered to be the crucial stage for the automatic analysis of documents with complex layouts. This has traditionally been carried out in uncompressed docume…

cs.CV2019

Word and character segmentation directly in run-length compressed handwritten document images

Amarnath R, P. Nagabhushan, Mohammed Javed

From the literature, it is demonstrated that performing text-line segmentation directly in the run-length compressed handwritten document images significantly reduces the computati…

cs.CV2019

Automatic Text Line Segmentation Directly in JPEG Compressed Document Images

Bulla Rajesh, Mohammed Javed, P Nagabhushan

JPEG is one of the popular image compression algorithms that provide efficient storage and transmission capabilities in consumer electronics, and hence it is the most preferred ima…

cs.CV2019

DCT-CompCNN: A Novel Image Classification Network Using JPEG Compressed DCT Coefficients

Bulla Rajesh, Mohammed Javed, Ratnesh +1

The popularity of Convolutional Neural Network (CNN) in the field of Image Processing and Computer Vision has motivated researchers and industrialist experts across the globe to so…

cs.CV2019

NLP Driven Ensemble Based Automatic Subtitle Generation and Semantic Video Summarization Technique

VB Aswin, Mohammed Javed, Parag Parihar +4

This paper proposes an automatic subtitle generation and semantic video summarization technique. The importance of automatic video summarization is vast in the present era of big d…