The sheer volume of movies generated these days requires an automated analytics for
efficient classification, query-based search, and extraction of desired information. These …

Rapid increase in video databases has forced the industry to have efficient and effective
frameworks for video retrieval and indexing. Video segmentation into scenes is widely used …

Video segmentation into shots is the first step for video indexing and searching. Videos
shots are mostly very small in duration and do not give meaningful insight of the visual …

Extracting local keypoints and keypoint descriptions from images is a primary step for many
computer vision and image retrieval applications. In the literature, many researchers have …

In this work we propose a new key frame extraction method based on SIFT local features.
We extracted feature vectors from a carefully selected group of frames from a video shot …

This paper discusses MAC-REALM, a framework for extraction of syntactic and semantic
content features and content modelling with either little or no user interaction. The framework …

With the advancement in multimedia technologies, the video databases are exponentially
increasing in size which are creating many challenges for efficient indexing and retrieval of …

One of the main approaches for video scene segmentation is based on shot clustering.
However, shot characterization has been left in background by researches related to video …

In this paper, we propose simple and effective compression of CSLBP (Center Symmetric
Local Binary Pattern) descriptors, which is a textured based operator and mostly used as key …

Abstract Information retrieval is intended to help people who are constantly looking for
information. Partitioning the video into frames is the first stage in video information retrieval …