Video Summarization Using Singular Value Decomposition

Bengali Text Summarization Using Singular Value Decomposition

A Multi-Document Multi-Lingual Automatic Summarization System

Abstract. In this paper, a new multidocument multi-lingual text summarization technique, based on singular value decomposition and hierarchical clustering, is proposed. The proposed approach relies on only two resources for any language: a word segmentation system and a dictionary of words along with their document frequencies. The summarizer initially takes a collection of related documents, a...

Generating Optimal Video Summaries

In this paper, we propose a novel technique for video summarization based on the Singular Value Decomposition (SVD). For the input video sequence, we create a featureframe matrix A, and perform the SVD on it. From this SVD, we are able to derive not only the refined feature space to better cluster visually similar frames, but also a metric to measure the amount of visual content contained in ea...

Clustered Sub-Matrix Singular Value Decomposition

This paper presents an alternative algorithm based on the singular value decomposition (SVD) that creates vector representation for linguistic units with reduced dimensionality. The work was motivated by an application aimed to represent text segments for further processing in a multi-document summarization system. The algorithm tries to compensate for SVD’s bias towards dominant-topic document...

Evaluating the mid-secretory endometrium appearance using hysteroscopic digital video summarization

Often, it is necessary to evaluate the mid-secretory endometrium appearance in Gynecology. For this purpose, hysteroscopic videos have been used, and are of fundamental importance nowadays for diagnosis/prognosis of several uterine pathologies. These videos are continuous (non-interrupted) video sequences, usually recorded in full. However, only a few segments of the recorded videos are relevan...