An innovative Method of Accessing Digital Video Archives through Video Indexing

Jacob, Jaimon; Elayidom, M. Sudheep; Devassia, V.P.

doi:10.1109/icces48766.2020.9138076

Cited by 2 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this model, storage cost, retrieval cost, and update cost of these indexes are evaluated. Jaimon Jacob, M.Sudheep Elayidom and V.P Devassia [17] have suggested an innovative method for retrieving digital video archives using videos captioning and indexing. In this technique, video storytelling technique is used to represent each video as script.…”

Section: Literature Surveymentioning

confidence: 99%

Efficient Alphabetic Text-based Tree Indexing

2021

jecet

View full text Add to dashboard Cite

The Indexing data structure is used to store and retrieves data in database. It is frequently being used to speed up access to particular data items. Creating an index is a very important part of databases. Tree is a best option to create indexing for database. Appropriate indexing techniques supports in reducing the space and time complexity of storage and retrieval data. Traditional index sequencing method is used to static database and homogeneous data. To retrieve heterogenous big data, conventional indexing techniques is not useful. For heterogenous big data, optimized decision-making indexing is required. If there is a requirement to create the index for string or character for searching, tree-based indexing is the best option.In this paper, alphabetic text and character-based indexing techniques have proposed for searching purpose. This proposed index technique is very useful for insertion and updating database quickly. The alphabetic text and character-based indexing serve the "Starts with" operations for autocomplete function. Text-based indexing will be more beneficial than hash-based index. Alphabetic text and Character based indexing means the indices for characters are simply the order of alphabets like 'a' -> 0, 'c' -> 2 and so on. The proposed technique can be used to quickly get some important information of one of the fields or combination and proceed with Create, Read, Update and Delete operations. Experimental results show that alphabetic text indexing is better then hash-based indexing for insertion, deletion and updating of database.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Efficient Alphabetic Text-based Tree Indexing

2021

jecet

View full text Add to dashboard Cite

show abstract

A Retrieval Method for Spatiotemporal Information of Chorography Based on Deep Learning

Shu-liang

2022

RACSC

View full text Add to dashboard Cite

Background: On the retrieval of spatiotemporal information of chorography (STIC), one of the most important topics is how to quickly pinpoint the desired STIC text out of the massive chorography databases. Domestically, there are not diverse means to retrieve the spatiotemporal information from chorography database. Emerging techniques like data mining, artificial intelligence (AI), and natural language processing (NLP) should be introduced into the informatization of chorography. Objective: This study intends to devise an information retrieval method for STIC based on deep learning, and fully demonstrates its feasibility. Methods: Firstly, the authors explained the flow for retrieving and analyzing the data features of STIC texts, and established a deep hash model for STIC texts. Next, the data matching flow was defined for STIC texts, the learned hash code was adopted as the memory address of STIC texts, and the hash Hamming distance of the text information was computed through linear search, thereby completing the task of STIC retrieval. Results: Our STIC text feature extraction model learned better STIC text features than the contrastive method. It learned many hash features, and differentiated between different information well, when there were many hash bits. Conclusion: In addition, our hash algorithm achieved the best retrieval accuracy among various methods. Finally, the hash features acquired by our algorithm can accelerate the retrieval speed of STIC texts. These experimental results demonstrate the effectiveness of the proposed model and algorithm.

show abstract

An innovative Method of Accessing Digital Video Archives through Video Indexing

Cited by 2 publications

References 8 publications

Efficient Alphabetic Text-based Tree Indexing

Efficient Alphabetic Text-based Tree Indexing

A Retrieval Method for Spatiotemporal Information of Chorography Based on Deep Learning

Contact Info

Product

Resources

About